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They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[{"id":5031,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/FAS32701.jpg","logo":true,"scheme":false,"title":"NetApp FAS3200 series","vendorVerified":0,"rating":"0.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-fas3200-series","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3200 series lets you seamlessly scale your storage infrastructure to support demanding business applications and requirements, no matter how quickly your organization changes.\r\nThe FAS3200 series is a midrange platform tailored to deliver the performance, expandability, and capacity scaling critical to the needs of your organization. Fully Flash-ready systems support internal Flash, solid- state disks (SSDs), and advanced server cache, so you can achieve optimum performance while minimizing your total investment in Flash. This significantly reduces the total storage capacity you need.\r\nThe ability to scale FAS3200 performance and capacity without disrupting operations brings a new level of agility to midrange storage. As capacity requirements grow, NetApp clustering technology allows seamless scaling of devices, storage volumes, and even entire storage systems residing within a cluster.\r\n<span style=\"font-weight: bold;\">Flash performance</span>\r\nDesigned to deliver more performance than ever before, new FAS3200 models provide up to 80% more I/O per second, enabling you to drive your organization faster. As needs change you can boost performance further using the broad range of Flash products in the NetApp Virtual Storage Tier. This innovative approach combines the inherent latency and throughput benefits of Flash with intelligent caching capabilities, delivering the performance benefits of Flash while keeping total costs low.\r\n<span style=\"font-weight: bold;\">Highly efficient systems</span>\r\nAt NetApp, storage efficiency is part of the DNA. NetApp seeks out every way possible to reduce your cost per effective gigabyte of storage. What’s more, the NetApp OnCommand® management suite automates the process. Efficiency technologies can be invoked with the click of a button or—in the case of NetApp Workflow Automation—can be encapsulated in your data management policies. This further reduces administrator time and helps you achieve optimum storage efficiency throughout your data infrastructure.\r\n<span style=\"font-weight: bold;\">Reliability and availability</span>\r\nThe FAS3200 series is built on the proven enterprise-class availability of the NetApp storage infrastructure. The FAS3200 models leverage from high-end systems by introducing features such as<br />Alternate Control Path (ACP) and service processor. These enhance our already highly available architecture by enabling additional diagnostics and non disruptive recovery.\r\nHA and cluster configurations support nondisruptive maintenance, upgrade, and other operations to eliminate planned downtime and provide even greater availability to meet your needs. You can further boost data availability and meet stringent servicelevel objectives by combining the FAS3200 series with the NetApp Integrated Data Protection portfolio. High-speed, space-efficient Snapshot copies let you capture a copy of a data volume in seconds, while advanced synchronous and asynchronous replication for business continuity can protect you against both planned and unplanned outages. Deduplication and compression are leveraged across both primary and secondary storage, reducing capacity consumption and network usage.\r\n<span style=\"font-weight: bold;\">Maximum platform flexibility</span>\r\nFor midrange storage, the key to success is platform flexibility.<br />FAS3200 models scale from a few terabytes to over 2PB of storage capacity to adapt readily to your growing storage demands. For maximum performance density and to decrease consumption of space, power, and cooling, the FAS3200 series is available with the DS2246 disk shelf. This disk shelf utilizes the latest high-performance hard-disk technology, with small-form-factor 2.5” disk drives that double the capacity per rack unit, conserving valuable data center resources. With midrange storage, available expansion slots can be a limiting factor.<br />The expanded I/O configurations of the FAS3250 model significantly add to the number of PCIe expansion slots available for network cards, Flash cards, and storage connectivity. Should you reach the limits of a FAS3200 system, all models support clustering, providing you with the flexibility to build clustered systems from 2 nodes to 24 nodes—all managed from a single console.","shortDescription":"NetApp FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":16,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp FAS3200 series","keywords":"","description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3","og:title":"NetApp FAS3200 series","og:description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3","og:image":"https://old.roi4cio.com/fileadmin/user_upload/FAS32701.jpg"},"eventUrl":"","translationId":5032,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":503,"title":"Storage Networking","alias":"storage-networking","description":" A storage area network (SAN) or storage network is a computer network which provides access to consolidated, block-level data storage. SANs are primarily used to enhance accessibility of storage devices, such as disk arrays and tape libraries, to servers so that the devices appear to the operating system as locally-attached devices. A SAN typically is a dedicated network of storage devices not accessible through the local area network (LAN) by other devices, thereby preventing interference of LAN traffic in data transfer.\r\nThe cost and complexity of SANs dropped in the early 2000s to levels allowing wider adoption across both enterprise and small to medium-sized business environments.\r\nA SAN does not provide file abstraction, only block-level operations. However, file systems built on top of SANs do provide file-level access, and are known as shared-disk file systems.\r\nStorage area networks (SANs) are sometimes referred to as network behind the servers and historically developed out of the centralised data storage model, but with its own data network. A SAN is, at its simplest, a dedicated network for data storage. In addition to storing data, SANs allow for the automatic backup of data, and the monitoring of the storage as well as the backup process. A SAN is a combination of hardware and software. It grew out of data-centric mainframe architectures, where clients in a network can connect to several servers that store different types of data. To scale storage capacities as the volumes of data grew, direct-attached storage (DAS) was developed, where disk arrays or just a bunch of disks (JBODs) were attached to servers. In this architecture storage devices can be added to increase storage capacity. However, the server through which the storage devices are accessed is a single point of failure, and a large part of the LAN network bandwidth is used for accessing, storing and backing up data. To solve the single point of failure issue, a direct-attached shared storage architecture was implemented, where several servers could access the same storage device.\r\nDAS was the first network storage system and is still widely implemented where data storage requirements are not very high. Out of it developed the network-attached storage (NAS) architecture, where one or more dedicated file server or storage devices are made available in a LAN. Therefore, the transfer of data, particularly for backup, still takes place over the existing LAN. If more than a terabyte of data was stored at any one time, LAN bandwidth became a bottleneck. Therefore, SANs were developed, where a dedicated storage network was attached to the LAN, and terabytes of data are transferred over a dedicated high speed and bandwidth network. Within the storage network, storage devices are interconnected. Transfer of data between storage devices, such as for backup, happens behind the servers and is meant to be transparent. While in a NAS architecture data is transferred using the TCP and IP protocols over Ethernet, distinct protocols were developed for SANs, such as Fibre Channel, iSCSI, Infiniband. Therefore, SANs often have their own network and storage devices, which have to be bought, installed, and configured. This makes SANs inherently more expensive than NAS architectures.","materialsDescription":"<span style=\"font-weight: bold; \">What is storage virtualization?</span>\r\nA storage area network (SAN) is a dedicated high-speed network or subnetwork that interconnects and presents shared pools of storage devices to multiple servers.\r\nA SAN moves storage resources off the common user network and reorganizes them into an independent, high-performance network. This enables each server to access shared storage as if it were a drive directly attached to the server. When a host wants to access a storage device on the SAN, it sends out a block-based access request for the storage device.\r\nA storage area network is typically assembled using three principle components: cabling, host bus adapters (HBAs), and switches attached to storage arrays and servers. Each switch and storage system on the SAN must be interconnected, and the physical interconnections must support bandwidth levels that can adequately handle peak data activities. IT administrators manage storage area networks centrally.\r\nStorage arrays were initially all hard disk drive systems, but are increasingly populated with flash solid-state drives (SSDs).\r\n<span style=\"font-weight: bold; \">What storage area networks are used for?</span>\r\nFibre Channel (FC) SANs have the reputation of being expensive, complex and difficult to manage. Ethernet-based iSCSI has reduced these challenges by encapsulating SCSI commands into IP packets that don't require an FC connection.\r\nThe emergence of iSCSI means that instead of learning, building and managing two networks -- an Ethernet local area network (LAN) for user communication and an FC SAN for storage -- an organization can use its existing knowledge and infrastructure for both LANs and SANs. This is an especially useful approach in small and midsize businesses that may not have the funds or expertise to support a Fibre Channel SAN.\r\nOrganizations use SANs for distributed applications that need fast local network performance. SANs improve the availability of applications through multiple data paths. They can also improve application performance because they enable IT administrators to offload storage functions and segregate networks.\r\nAdditionally, SANs help increase the effectiveness and use of storage because they enable administrators to consolidate resources and deliver tiered storage. SANs also improve data protection and security. Finally, SANs can span multiple sites, which helps companies with their business continuity strategies.\r\n<span style=\"font-weight: bold;\">Types of network protocols</span>\r\nMost storage networks use the SCSI protocol for communication between servers and disk drive devices.[citation needed] A mapping layer to other protocols is used to form a network:\r\n<ul><li>ATA over Ethernet (AoE), mapping of ATA over Ethernet</li><li>Fibre Channel Protocol (FCP), the most prominent one, is a mapping of SCSI over Fibre Channel</li><li>Fibre Channel over Ethernet (FCoE)</li><li>ESCON over Fibre Channel (FICON), used by mainframe computers</li><li>HyperSCSI, mapping of SCSI over Ethernet</li><li>iFCP or SANoIP mapping of FCP over IP</li><li>iSCSI, mapping of SCSI over TCP/IP</li><li>iSCSI Extensions for RDMA (iSER), mapping of iSCSI over InfiniBand</li><li>Network block device, mapping device node requests on UNIX-like systems over stream sockets like TCP/IP</li><li>SCSI RDMA Protocol (SRP), another SCSI implementation for RDMA transports</li></ul>\r\nStorage networks may also be built using SAS and SATA technologies. SAS evolved from SCSI direct-attached storage. SATA evolved from IDE direct-attached storage. SAS and SATA devices can be networked using SAS Expanders.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_Networking.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":4782,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Dell_EMC_VMAX_100K.jpg","logo":true,"scheme":false,"title":"Dell EMC VMAX 100K","vendorVerified":0,"rating":"0.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":59,"alias":"dell-emc-vmax-100k","companyTitle":"Dell EMC","companyTypes":["vendor"],"companyId":955,"companyAlias":"dell-emc","description":"The VMAX 100K is the entry model in our line of VMAX3 systems. VMAX3 isn’t just bigger and faster enterprise data storage. It’s also a data services platform designed to enable file, backup, mainframe and other rich services.<br /><br />EMC VMAX3 storage arrays ship with virtual provisioning turned on, ready to provision your service level objective with 1 click. Set SLOs for resources within VMAX 100K or with FAST.X for external EMC storage such as XtremIO or third party storage.<br /><br />With attractive pricing, simple management, and embedded file services, VMAX 100K helps you converge mission-critical block, file, and mainframe storage to lower your total cost of ownership. Configure your EMC VMAX 100K as a hybrid storage array with the right amount of flash SSD configured for higher IOPS. You'll get the best response time in the smallest footprint and at the lowest cost.<br /><br /><span style=\"font-weight: bold;\">Key features:</span>\r\n\r\n<ul><li>Extend performance and reliability beyond Tier 1 workloads to enterprise data services</li></ul>\r\n<ul><li>Scale up to 2 VMAX3 engines, up to 48 CPU cores per array</li></ul>\r\n<ul><li>Grow with up to 64 front-end ports and 500 TB usable capacity</li></ul>\r\n<ul><li>Deliver high performance with Dynamic Virtual Matrix for database, OLTP, and file workloads</li></ul>\r\n<ul><li>Shrink data center footprint: VMAX3 engine plus up to 720 drives in a single rack</li></ul>\r\n<ul><li>Use FAST.X to take advantage of VMAX3 data services on externally tiered workloads such as EMC XtremIO all-flash array or non-EMC storage</li></ul>\r\n<ul><li>Ensure 99.9999% uptime with always-on availability, secure data with optional data at rest encryption</li></ul>","shortDescription":"Automate, modernize, and converge your data center infrastructure with an EMC VMAX 100K storage array.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Dell EMC VMAX 100K","keywords":"","description":"The VMAX 100K is the entry model in our line of VMAX3 systems. VMAX3 isn’t just bigger and faster enterprise data storage. It’s also a data services platform designed to enable file, backup, mainframe and other rich services.<br /><br />EMC VMAX3 storage array","og:title":"Dell EMC VMAX 100K","og:description":"The VMAX 100K is the entry model in our line of VMAX3 systems. VMAX3 isn’t just bigger and faster enterprise data storage. It’s also a data services platform designed to enable file, backup, mainframe and other rich services.<br /><br />EMC VMAX3 storage array","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Dell_EMC_VMAX_100K.jpg"},"eventUrl":"","translationId":4783,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":4800,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Hitachi_logo.png","logo":true,"scheme":false,"title":"Hitachi TagmaStore™ Adaptable Modular Storage Model AMS500","vendorVerified":0,"rating":"0.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":4,"alias":"hitachi-tagmastoretm-adaptable-modular-storage-model-ams500","companyTitle":"Hitachi Data Systems","companyTypes":["vendor"],"companyId":313,"companyAlias":"hitachi-data-systems","description":"<span style=\"font-weight: bold;\">Enterprise-class Solutions for SMB Customers</span>\r\nSmall-to-midsized businesses (SMBs) are facing big-company challenges of escalating data growth, availability, and protection as well as regulatory compliance and complex storage infrastructures. With many years of experience serving FORTUNE 500 companies, Hitachi Data Systems understands these challenges and has developed Application Optimized Storage™ solutions to match application requirements to storage attributes. Now Hitachi Data Systems brings SMB customers these proven solutions in modular, cost-effective packaging—including the Hitachi TagmaStore™ Adaptable Modular Storage model AMS500.<br />\r\n<span style=\"font-weight: bold;\">Business Benefits</span><br />\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Gain high-end performance and capacity, priced for the midrange</span></span>\r\n<ul><li>Move from server-internal storage to scalable external storage, consolidate multiple storage systems into one, or build a first storage area network (SAN); either iSCSI or Fibre Channel connectivity supported.</li></ul>\r\n<ul><li>Use NAS connectivity options for collaborative file-sharing applications.</li></ul>\r\n<ul><li>Deliver application-specific performance, availability, and protection across systems—from a few terabytes to more than 86TB (SATA intermix drives) or 64TB (Fibre Channel drives).</li></ul>\r\n<ul><li>Use advanced features—Cache Partition Manager and RAID-6—to help improve performance, reliability, and usability.</li></ul>\r\n<ul><li>Partition and dedicate cache to maximize performance of high-I/O applications.</li></ul>\r\n<ul><li>Support outstanding performance for virtually any workload, with 2,048 logical units (LUNs).</li></ul>\r\n<ul><li>Choose between SATA intermix and Fibre Channel to host any workload on the most economical storage system.</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Consolidate storage, anticipate growth</span></span>\r\n<ul><li>Consolidate and centralize management to reduce costs.</li></ul>\r\n<ul><li>Scale to 86.9TB of SATA and Fibre Channel intermix or to 64.7TB of Fibre Channel storage capacity.</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Meet compliance requirements, protect data, and reduce recovery times</span></span>\r\n<ul><li>Enhanced SATA data protection provides unmatched data availability and resiliency.</li></ul>\r\n<ul><li>RAID-6 ensures high availability and flexibility in RAID group rebuild.</li></ul>\r\n<ul><li>Hi-Track® “call-home” service/remote maintenance tool for 24/7 diagnostics keeps potential issues from becoming problems.</li></ul>\r\n<ul><li>Fully redundant and hot-swappable components keep your applications online.</li></ul>\r\n<ul><li>Within-system volume replication or incremental copies provide frequent and nondisruptive backups.</li></ul>\r\n<ul><li>Remote replication is enabled by Hitachi TrueCopy™ Remote Replication software.</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Build a first storage network or extend an existing one</span></span>\r\n<ul><li>Plug-and-play SAN Kits for Microsoft Simple SAN and SAN Starter solutions for easy deployment</li></ul>\r\n<ul><li>Diskless boot for SAN-attached servers</li></ul>\r\n<ul><li>High-capacity storage for network attached storage (NAS) applications</li></ul>\r\n<ul><li>Systems management and configuration using Storage Management and Hitachi HiCommand® Suite software</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Leverage for SMB applications or enterprise tiered storage deployments</span></span>\r\n<ul><li>Microsoft Exchange Server, ERP, CRM, database, NAS filer, backup applications, or tape replacement</li></ul>\r\n<ul><li>Archival and long-term tamperproof data retention to meet regulatory requirements</li></ul>\r\n<ul><li>Complete data lifecycle management solutions within a tiered storage environment when combined with Hitachi enterprise-class storage</li></ul>","shortDescription":"Hitachi TagmaStore® Adaptable Modular Storage models AMS500 deliver the best price/performance, availability and best-in-class scalability in the modular storage market space","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":9,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Hitachi TagmaStore™ Adaptable Modular Storage Model AMS500","keywords":"","description":"<span style=\"font-weight: bold;\">Enterprise-class Solutions for SMB Customers</span>\r\nSmall-to-midsized businesses (SMBs) are facing big-company challenges of escalating data growth, availability, and protection as well as regulatory compliance and complex sto","og:title":"Hitachi TagmaStore™ Adaptable Modular Storage Model AMS500","og:description":"<span style=\"font-weight: bold;\">Enterprise-class Solutions for SMB Customers</span>\r\nSmall-to-midsized businesses (SMBs) are facing big-company challenges of escalating data growth, availability, and protection as well as regulatory compliance and complex sto","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Hitachi_logo.png"},"eventUrl":"","translationId":4801,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":4844,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/HPE_logo.jpeg","logo":true,"scheme":false,"title":"HPE StoreVirtual VSA Software","vendorVerified":0,"rating":"0.00","implementationsCount":2,"suppliersCount":0,"supplierPartnersCount":452,"alias":"hpe-storevirtual-vsa-software","companyTitle":"Hewlett Packard Enterprise","companyTypes":["supplier","vendor"],"companyId":172,"companyAlias":"hewlett-packard-enterprise","description":"For developing converged compute and storage solutions in virtualized environments, HPE StoreVirtual VSA Software delivers high performance shared storage on your choice of servers and SSD or HDD media. Built on proven data services technology, HPE StoreVirtual VSA delivers software-defined storage by virtualizing up to 50TB of disk capacity per server running VMware vSphere, Microsoft Hyper-V or Linux KVM. The HPE StoreVirtual VSA eliminates the need for external shared storage required to implement advanced hypervisor features.\r\nHPE StoreVirtual VSA uses scale-out, distributed clustering to provide a pool of storage with enterprise storage features and simple management at reduced cost. Multiple StoreVirtual VSAs running on multiple servers create a clustered pool of storage with the ability to make data highly available by protecting volumes with Network RAID. Adding more StoreVirtual VSAs to the cluster grows the storage pool. With Network RAID, blocks of data are striped and mirrored across multiple StoreVirtual VSAs, allowing volumes and applications to stay online in the event of disk, storage subsystem or server failure. iSCSI connectivity on HPE StoreVirtual VSA supports the use of the storage pools by hypervisors as well as other applications. HPE StoreVirtual VSA fully supports 1GbE and 10GbE environments for connections to both virtual and physical hosts.<br />\r\nLeverage existing converged infrastructure with StoreVirtual VSA and enable higher levels of protection for business critical data services. Easy to use installation wizards assist in the deployment of HPE StoreVirtual VSA on VMware vSphere or Microsoft HyperV. Using the Centralized Management Console, StoreVirtual VSA can be deployed at remote sites and managed centrally as a virtual storage system.<br /><br /><span style=\"font-weight: bold;\">Benefits</span>\r\n<ul><li>Gain the benefits of an array without requiring a physical storage infrastructure by virtualizing storage resources in a server – reduces cost, footprint, power and cooling</li></ul>\r\n<ul><li>Take advantage of hypervisor advanced features such as vMotion and Live Migration without purchasing external storage system</li></ul>\r\n<ul><li>Create a storage pool which is available to hypervisors and other applications via iSCSI</li></ul>\r\n<ul><li>Comes complete with all storage management features - no additional software needed</li></ul>\r\n<ul><li>Easily build a clustered, highly available converged storage pool on existing servers</li></ul>\r\n<ul><li>Utilize internal (SATA, MDL, SAS, SSD, PCIe Flash) and external (iSCSI, FC, SAS) storage options supported by VMware, Microsoft or Linux as back end storage</li></ul>\r\n<ul><li>Enable disaster recovery (DR) solutions for remote or branch offices that do not have budget, space, or power for servers and a traditional array</li></ul>\r\n<ul><li>Easily replicate volumes between StoreVirtual VSA and 3PAR with Peer Copy</li></ul>\r\n<ul><li>Reduce cost and complexity with integrated backup to HPE StoreOnce systems using HPE RMC software</li></ul>","shortDescription":"The StoreVirtual VSA software delivers the scalability and high availability of HP StoreVirtual arrays to small and midsize customers.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":7,"sellingCount":14,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"HPE StoreVirtual VSA Software","keywords":"","description":"For developing converged compute and storage solutions in virtualized environments, HPE StoreVirtual VSA Software delivers high performance shared storage on your choice of servers and SSD or HDD media. Built on proven data services technology, HPE StoreVirtua","og:title":"HPE StoreVirtual VSA Software","og:description":"For developing converged compute and storage solutions in virtualized environments, HPE StoreVirtual VSA Software delivers high performance shared storage on your choice of servers and SSD or HDD media. Built on proven data services technology, HPE StoreVirtua","og:image":"https://old.roi4cio.com/fileadmin/user_upload/HPE_logo.jpeg"},"eventUrl":"","translationId":4845,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":1,"title":"Desktop virtualization","alias":"desktop-virtualization","description":" Desktop virtualization is a virtualization technology that separates an individual's PC applications from his or her desktop. Virtualized desktops are generally hosted on a remote central server, rather than the hard drive of the personal computer. Because the client-server computing model is used in virtualizing desktops, desktop virtualization is also known as client virtualization.\r\nDesktop virtualization provides a way for users to maintain their individual desktops on a single, central server. The users may be connected to the central server through a LAN, WAN or over the Internet.\r\nDesktop virtualization has many benefits, including a lower total cost of ownership (TCO), increased security, reduced energy costs, reduced downtime and centralized management.\r\nLimitations of desktop virtualization include difficulty in maintenance and set up of printer drivers; increased downtime in case of network failures; complexity and costs involved in VDI deployment and security risks in the event of improper network management.<br /><br />","materialsDescription":" <span style=\"font-weight: bold; \">What are types of desktop virtualization technologies?</span>\r\nHost-based forms of desktop virtualization require that users view and interact with their virtual desktops over a network by using a remote display protocol. Because processing takes place in a data center, client devices can be traditional PCs, but also thin clients, zero clients, smartphones and tablets. Examples of host-based desktop virtualization technology include:\r\n<span style=\"font-weight: bold; \">Host-based virtual machines:</span> Each user connects to an individual VM that is hosted in a data center. The user may connect to the same VM every time, allowing for personalization (known as a persistent desktop), or be given a fresh VM at each login (a nonpersistent desktop).\r\n<span style=\"font-weight: bold; \">Shared hosted:</span> Users connect to a shared desktop that runs on a server. Microsoft Remote Desktop Services, formerly Terminal Services, takes this client-server approach. Users may also connect to individual applications running on a server; this technology is an example of application virtualization.\r\n<span style=\"font-weight: bold; \">Host-based physical machines:</span> The operating system runs directly on another device's physical hardware.\r\nClient virtualization requires processing to occur on local hardware; the use of thin clients, zero clients and mobile devices is not possible. These types of desktop virtualization include:\r\n<span style=\"font-weight: bold; \">OS image streaming:</span> The operating system runs on local hardware, but it boots to a remote disk image across the network. This is useful for groups of desktops that use the same disk image. OS image streaming, also known as remote desktop virtualization, requires a constant network connection in order to function.\r\n<span style=\"font-weight: bold; \">Client-based virtual machines:</span> A VM runs on a fully functional PC, with a hypervisor in place. Client-based virtual machines can be managed by regularly syncing the disk image with a server, but a constant network connection is not necessary in order for them to function.\r\n<span style=\"font-weight: bold;\">Desktop virtualization vs. virtual desktop infrastructure</span>\r\nThe terms <span style=\"font-style: italic;\">desktop virtualization</span> and virtual desktop infrastructure (VDI) are often used interchangeably, but they are not the same. While VDI is a type of desktop virtualization, not all desktop virtualization uses VDI.\r\nVDI refers to the use of host-based VMs to deliver virtual desktops, which emerged in 2006 as an alternative to Terminal Services and Citrix's client-server approach to desktop virtualization technology. Other types of desktop virtualization -- including the shared hosted model, host-based physical machines and all methods of client virtualization -- are not examples of VDI.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Desktop_virtualization.png"},{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1522,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/sibis-logo.png","logo":true,"scheme":false,"title":"Hitachi Unified Storage VM and Power 730 Express (8231-E2D) by SI BIS","vendorVerified":0,"rating":"1.40","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":0,"alias":"hitachi-unified-storage-vm-and-power-730-express-8231-e2d-by-si-bis","companyTitle":"SI BIS","companyTypes":["supplier","vendor"],"companyId":246,"companyAlias":"si-bis","description":"Модернизация инфраструктуры СХД посредством установки высокопроизводительной платформы на базе Hitachi Unified Storage VM (виртуализация существующей СХД с миграцией данных на HUS VM) - для бесперебойной работы;\r\nрасширение серверного оборудования IBM более производительной системой Power 730 Express (8231-E2D), созданной на основе новейшей процессорной технологии Power7 - приспособленной для больших объемов информации.\r\n\r\n","shortDescription":"Комплексная модернизация АПК на базе Hitachi Unified Storage VM и расширения серверного оборудования IBM более производительной системой Power 730 Express (8231-E2D)","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":11,"sellingCount":17,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Hitachi Unified Storage VM and Power 730 Express (8231-E2D) by SI BIS","keywords":"Hitachi, Unified, 8231-E2D, Express, Storage, Power, технологии, более","description":"Модернизация инфраструктуры СХД посредством установки высокопроизводительной платформы на базе Hitachi Unified Storage VM (виртуализация существующей СХД с миграцией данных на HUS VM) - для бесперебойной работы;\r\nрасширение серверного оборудования IBM более пр","og:title":"Hitachi Unified Storage VM and Power 730 Express (8231-E2D) by SI BIS","og:description":"Модернизация инфраструктуры СХД посредством установки высокопроизводительной платформы на базе Hitachi Unified Storage VM (виртуализация существующей СХД с миграцией данных на HUS VM) - для бесперебойной работы;\r\nрасширение серверного оборудования IBM более пр","og:image":"https://old.roi4cio.com/fileadmin/user_upload/sibis-logo.png"},"eventUrl":"","translationId":7113,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":35,"title":"Server","alias":"server","description":"In computing, a server is a computer program or a device that provides functionality for other programs or devices, called &quot;clients&quot;. This architecture is called the client–server model, and a single overall computation is distributed across multiple processes or devices. Servers can provide various functionalities, often called &quot;services&quot;, such as sharing data or resources among multiple clients, or performing computation for a client. A single server can serve multiple clients, and a single client can use multiple servers. A client process may run on the same device or may connect over a network to a server on a different device. Typical servers are database servers, file servers, mail servers, print servers, web servers, game servers, and application servers.\r\nClient–server systems are today most frequently implemented by (and often identified with) the request–response model: a client sends a request to the server, which performs some action and sends a response back to the client, typically with a result or acknowledgement. Designating a computer as &quot;server-class hardware&quot; implies that it is specialized for running servers on it. This often implies that it is more powerful and reliable than standard personal computers, but alternatively, large computing clusters may be composed of many relatively simple, replaceable server components.\r\nStrictly speaking, the term server refers to a computer program or process (running program). Through metonymy, it refers to a device used for (or a device dedicated to) running one or several server programs. On a network, such a device is called a host. In addition to server, the words serve and service (as noun and as verb) are frequently used, though servicer and servant are not. The word service (noun) may refer to either the abstract form of functionality, e.g. Web service. Alternatively, it may refer to a computer program that turns a computer into a server, e.g. Windows service. Originally used as &quot;servers serve users&quot; (and &quot;users use servers&quot;), in the sense of &quot;obey&quot;, today one often says that &quot;servers serve data&quot;, in the same sense as &quot;give&quot;. For instance, web servers &quot;serve web pages to users&quot; or &quot;service their requests&quot;.\r\nThe server is part of the client–server model; in this model, a server serves data for clients. The nature of communication between a client and server is request and response. This is in contrast with peer-to-peer model in which the relationship is on-demand reciprocation. In principle, any computerized process that can be used or called by another process (particularly remotely, particularly to share a resource) is a server, and the calling process or processes is a client. Thus any general purpose computer connected to a network can host servers. For example, if files on a device are shared by some process, that process is a file server. Similarly, web server software can run on any capable computer, and so a laptop or a personal computer can host a web server.\r\nWhile request–response is the most common client–server design, there are others, such as the publish–subscribe pattern. In the publish–subscribe pattern, clients register with a pub–sub server, subscribing to specified types of messages; this initial registration may be done by request–response. Thereafter, the pub–sub server forwards matching messages to the clients without any further requests: the server pushes messages to the client, rather than the client pulling messages from the server as in request–response.","materialsDescription":" <span style=\"font-weight: bold;\">What is a server?</span>\r\nA server is a software or hardware device that accepts and responds to requests made over a network. The device that makes the request, and receives a response from the server, is called a client. On the Internet, the term &quot;server&quot; commonly refers to the computer system which receives a request for a web document and sends the requested information to the client.\r\n<span style=\"font-weight: bold;\">What are they used for?</span>\r\nServers are used to manage network resources. For example, a user may set up a server to control access to a network, send/receive an e-mail, manage print jobs, or host a website. They are also proficient at performing intense calculations. Some servers are committed to a specific task, often referred to as dedicated. However, many servers today are shared servers which can take on the responsibility of e-mail, DNS, FTP, and even multiple websites in the case of a web server.\r\n<span style=\"font-weight: bold;\">Why are servers always on?</span>\r\nBecause they are commonly used to deliver services that are constantly required, most servers are never turned off. Consequently, when servers fail, they can cause the network users and company many problems. To alleviate these issues, servers are commonly set up to be fault-tolerant.\r\n<span style=\"font-weight: bold;\">What are the examples of servers?</span>\r\nThe following list contains links to various server types:\r\n<ul><li>Application server;</li><li>Blade server;</li><li>Cloud server;</li><li>Database server;</li><li>Dedicated server;</li><li>Domain name service;</li><li>File server;</li><li>Mail server;</li><li>Print server;</li><li>Proxy server;</li><li>Standalone server;</li><li>Web server.</li></ul>\r\n<span style=\"font-weight: bold;\">How do other computers connect to a server?</span>\r\nWith a local network, the server connects to a router or switch that all other computers on the network use. Once connected to the network, other computers can access that server and its features. For example, with a web server, a user could connect to the server to view a website, search, and communicate with other users on the network.\r\nAn Internet server works the same way as a local network server, but on a much larger scale. The server is assigned an IP address by InterNIC, or by a web host.\r\nUsually, users connect to a server using its domain name, which is registered with a domain name registrar. When users connect to the domain name (such as &quot;computerhope.com&quot;), the name is automatically translated to the server's IP address by a DNS resolver.\r\nThe domain name makes it easier for users to connect to the server because the name is easier to remember than an IP address. Also, domain names enable the server operator to change the IP address of the server without disrupting the way that users access the server. The domain name can always remain the same, even if the IP address changes.\r\n<span style=\"font-weight: bold;\">Where are servers stored?</span>\r\nIn a business or corporate environment, a server and other network equipment are often stored in a closet or glasshouse. These areas help isolate sensitive computers and equipment from people who should not have access to them.\r\nServers that are remote or not hosted on-site are located in a data center. With these types of servers, the hardware is managed by another company and configured remotely by you or your company.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Server.png"},{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":502,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Nimble_Storage_Adaptive_Flash_Storage_Arrays__Hybrid_.jpeg","logo":true,"scheme":false,"title":"Nimble Storage Adaptive Flash Storage Arrays (Hybrid)","vendorVerified":0,"rating":"1.40","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":0,"alias":"nimble-storage-adaptive-flash-storage-arrays-hybrid","companyTitle":"Nimble Storage","companyTypes":["supplier","vendor"],"companyId":2952,"companyAlias":"nimble-storage","description":"<span style=\"font-weight: bold;\">Flash Performance for Every Mainstream Application</span>\r\n<span style=\"font-weight: bold;\">Speed Efficiency</span>\r\nPurpose-built flash architecture delivers sub-ms performance with unparalleled efficiency. And it’s five times faster than the competition.\r\n<span style=\"font-weight: bold;\">Scale to Fit</span>\r\nIndependently scale the performance and capacity of a single array, grow the amount of flash to suit any application and scale-out to Petabytes in a cluster. All non-disruptively.\r\n<span style=\"font-weight: bold;\">Adaptive Service Levels</span>\r\nAssign, or change, the service level of any application at the click of a button. Auto Flash, All Flash or Minimal Flash.","shortDescription":"Nimble Storage Adaptive Flash Storage Arrays. The industry’s only Predictive Hybrid Flash Array. Combines a flash-optimized architecture with predictive analytics to deliver data velocity for all mainstream applications.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":9,"sellingCount":8,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Nimble Storage Adaptive Flash Storage Arrays (Hybrid)","keywords":"Flash, performance, application, Adaptive, Storage, flash, Petabytes, scale-out","description":"<span style=\"font-weight: bold;\">Flash Performance for Every Mainstream Application</span>\r\n<span style=\"font-weight: bold;\">Speed Efficiency</span>\r\nPurpose-built flash architecture delivers sub-ms performance with unparalleled efficiency. And it’s five times","og:title":"Nimble Storage Adaptive Flash Storage Arrays (Hybrid)","og:description":"<span style=\"font-weight: bold;\">Flash Performance for Every Mainstream Application</span>\r\n<span style=\"font-weight: bold;\">Speed Efficiency</span>\r\nPurpose-built flash architecture delivers sub-ms performance with unparalleled efficiency. And it’s five times","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Nimble_Storage_Adaptive_Flash_Storage_Arrays__Hybrid_.jpeg"},"eventUrl":"","translationId":503,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":996,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Red_Hat_Hyperconverged_Infrastructure.png","logo":true,"scheme":false,"title":"Red Hat Hyperconverged Infrastructure","vendorVerified":0,"rating":"1.70","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":1,"alias":"red-hat-hyperconverged-infrastructure","companyTitle":"Red Hat","companyTypes":["supplier","vendor"],"companyId":628,"companyAlias":"red-hat","description":"In the banking, telecommunications, energy, and retail industries, remote branch offices often deploy business-critical applications on local server and storage infrastructures. But these offices face challenges like limited budget and space, lack of skilled IT staff, and complex infrastructure-management issues.\r\nRed Hat® Hyperconverged Infrastructure―the integration of Red Hat Virtualization and Red Hat Gluster Storage―provides open source, centrally administered, and cost-effective integrated compute and storage in a compact footprint to meet the needs of remote sites and the edge.\r\nRed Hat Hyperconverged Infrastructure lets you consolidate infrastructure for your remote sites by eliminating the need for an independently managed storage tier and delivering an integrated solution of compute plus software-defined storage. This reduces capital and operating expenses and operational overhead associated with managing a larger, more traditional infrastructure.","shortDescription":"Red Hat Hyperconverged Infrastructure for decentralized IT","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":7,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Red Hat Hyperconverged Infrastructure","keywords":"storage, Hyperconverged, remote, sites, integrated, infrastructure, offices, compute","description":"In the banking, telecommunications, energy, and retail industries, remote branch offices often deploy business-critical applications on local server and storage infrastructures. But these offices face challenges like limited budget and space, lack of skilled I","og:title":"Red Hat Hyperconverged Infrastructure","og:description":"In the banking, telecommunications, energy, and retail industries, remote branch offices often deploy business-critical applications on local server and storage infrastructures. But these offices face challenges like limited budget and space, lack of skilled I","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Red_Hat_Hyperconverged_Infrastructure.png"},"eventUrl":"","translationId":997,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":299,"title":"Application and User Session Virtualization","alias":"application-and-user-session-virtualization","description":"Application virtualization is a technology that allows you to separate the software from the operating system on which it operates. Fully virtualized software is not installed in the traditional sense, although the end-user at first glance can not see it, because the virtualized software works just as normal. The software in the execution process works just as if it interacted with the operating system directly and with all its resources, but can be isolated or executed in a sandbox with different levels of restriction.\r\nModern operating systems, such as Microsoft Windows and Linux, can include limited software virtualization. For example, Windows 7 has Windows XP mode that allows you to run Windows XP software on Windows 7 without any changes.\r\nUser session virtualization is a newer version of desktop virtualization that works at the operating system level. While normal virtualization of the desktop allows an operating system to be run by virtualizing the hardware of the desktop, RDS and App-V allow for the virtualization of the applications. User session virtualization lies between the two.\r\nA desktop has an operating system loaded on the base hardware. This can be either physical or virtual. The user session virtualization keeps track of all changes to the operating system that a user might make by encapsulating the configuration changes and associating them to the user account. This allows the specific changes to be applied to the underlying operating system without actually changing it. This allows several users to have completely different operating system configurations applied to base operating system installation.\r\nIf you are in a distributed desktop environment and there are local file servers available at each location, you can deploy virtualized user sessions in the form of redirected folders and roaming profiles.","materialsDescription":" <span style=\"font-weight: bold;\">Understanding application virtualization</span>\r\nApplication virtualization technology isolates applications from the underlying operating system and from other applications to increase compatibility and manageability. This application virtualization technology enables applications to be streamed from a centralized location into an isolation environment on the target device where they will execute. The application files, configuration, and settings are copied to the target device and the application execution at run time is controlled by the application virtualization layer. When executed, the application run time believes that it is interfacing directly with the operating system when, in fact, it is interfacing with a virtualization environment that proxies all requests to the operating system.\r\n<span style=\"font-weight: bold;\">Understanding session virtualization</span>\r\nSession virtualization uses application streaming to deliver applications to hosting servers in the datacenter. The Application then connects the user to the server. The application then executes entirely on the server. The user interacts with the application remotely by sending mouse-clicks and keystrokes to the server. The server then responds by sending screen updates back to the user’s device. Whereas application virtualization is limited to Windows-based operating systems, session virtualization allows any user on any operating system to access any application delivered by IT. As a result, the application enables Windows, Mac, Linux, iOS and Android devices to run any applications using session virtualization. Furthermore, session virtualization leverages server-side processing power which liberates IT from the endless cycle of PC hardware refreshes which are typically needed to support application upgrades when using traditional application deployment methods.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Application_and_User_Session_Virtualization__1_.png"},{"id":1,"title":"Desktop virtualization","alias":"desktop-virtualization","description":" Desktop virtualization is a virtualization technology that separates an individual's PC applications from his or her desktop. Virtualized desktops are generally hosted on a remote central server, rather than the hard drive of the personal computer. Because the client-server computing model is used in virtualizing desktops, desktop virtualization is also known as client virtualization.\r\nDesktop virtualization provides a way for users to maintain their individual desktops on a single, central server. The users may be connected to the central server through a LAN, WAN or over the Internet.\r\nDesktop virtualization has many benefits, including a lower total cost of ownership (TCO), increased security, reduced energy costs, reduced downtime and centralized management.\r\nLimitations of desktop virtualization include difficulty in maintenance and set up of printer drivers; increased downtime in case of network failures; complexity and costs involved in VDI deployment and security risks in the event of improper network management.<br /><br />","materialsDescription":" <span style=\"font-weight: bold; \">What are types of desktop virtualization technologies?</span>\r\nHost-based forms of desktop virtualization require that users view and interact with their virtual desktops over a network by using a remote display protocol. Because processing takes place in a data center, client devices can be traditional PCs, but also thin clients, zero clients, smartphones and tablets. Examples of host-based desktop virtualization technology include:\r\n<span style=\"font-weight: bold; \">Host-based virtual machines:</span> Each user connects to an individual VM that is hosted in a data center. The user may connect to the same VM every time, allowing for personalization (known as a persistent desktop), or be given a fresh VM at each login (a nonpersistent desktop).\r\n<span style=\"font-weight: bold; \">Shared hosted:</span> Users connect to a shared desktop that runs on a server. Microsoft Remote Desktop Services, formerly Terminal Services, takes this client-server approach. Users may also connect to individual applications running on a server; this technology is an example of application virtualization.\r\n<span style=\"font-weight: bold; \">Host-based physical machines:</span> The operating system runs directly on another device's physical hardware.\r\nClient virtualization requires processing to occur on local hardware; the use of thin clients, zero clients and mobile devices is not possible. These types of desktop virtualization include:\r\n<span style=\"font-weight: bold; \">OS image streaming:</span> The operating system runs on local hardware, but it boots to a remote disk image across the network. This is useful for groups of desktops that use the same disk image. OS image streaming, also known as remote desktop virtualization, requires a constant network connection in order to function.\r\n<span style=\"font-weight: bold; \">Client-based virtual machines:</span> A VM runs on a fully functional PC, with a hypervisor in place. Client-based virtual machines can be managed by regularly syncing the disk image with a server, but a constant network connection is not necessary in order for them to function.\r\n<span style=\"font-weight: bold;\">Desktop virtualization vs. virtual desktop infrastructure</span>\r\nThe terms <span style=\"font-style: italic;\">desktop virtualization</span> and virtual desktop infrastructure (VDI) are often used interchangeably, but they are not the same. While VDI is a type of desktop virtualization, not all desktop virtualization uses VDI.\r\nVDI refers to the use of host-based VMs to deliver virtual desktops, which emerged in 2006 as an alternative to Terminal Services and Citrix's client-server approach to desktop virtualization technology. Other types of desktop virtualization -- including the shared hosted model, host-based physical machines and all methods of client virtualization -- are not examples of VDI.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Desktop_virtualization.png"},{"id":2,"title":"Virtual machine and cloud system software","alias":"virtual-machine-and-cloud-system-software","description":" A virtual machine (VM) is a software-based computer that exists within another computer’s operating system, often used for the purposes of testing, backing up data, or running SaaS applications. To fully grasp how VMs work, it’s important to first understand how computer software and hardware are typically integrated by an operating system.\r\n&quot;The cloud&quot; refers to servers that are accessed over the Internet, and the software and databases that run on those servers. Cloud servers are located in data centers all over the world. By using cloud computing, users and companies don't have to manage physical servers themselves or run software applications on their own machines.\r\nThe cloud enables users to access the same files and applications from almost any device, because the computing and storage take place on servers in a data center, instead of locally on the user device. This is why a user can log into their Instagram account on a new phone after their old phone breaks and still find their old account in place, with all their photos, videos, and conversation history. It works the same way with cloud email providers like Gmail or Microsoft Office 365, and with cloud storage providers like Dropbox or Google Drive.\r\nFor businesses, switching to cloud computing removes some IT costs and overhead: for instance, they no longer need to update and maintain their own servers, as the cloud vendor they are using will do that. This especially makes an impact on small businesses that may not have been able to afford their own internal infrastructure but can outsource their infrastructure needs affordably via the cloud. The cloud can also make it easier for companies to operate internationally because employees and customers can access the same files and applications from any location.\r\nSeveral cloud providers offer virtual machines to their customers. These virtual machines typically live on powerful servers that can act as a host to multiple VMs and can be used for a variety of reasons that wouldn’t be practical with a locally-hosted VM. These include:\r\n<ul><li>Running SaaS applications - Software-as-a-Service, or SaaS for short, is a cloud-based method of providing software to users. SaaS users subscribe to an application rather than purchasing it once and installing it. These applications are generally served to the user over the Internet. Often, it is virtual machines in the cloud that are doing the computation for SaaS applications as well as delivering them to users. If the cloud provider has a geographically distributed network edge, then the application will run closer to the user, resulting in faster performance.</li><li>Backing up data - Cloud-based VM services are very popular for backing up data because the data can be accessed from anywhere. Plus, cloud VMs provide better redundancy, require less maintenance, and generally scale better than physical data centers. (For example, it’s generally fairly easy to buy an extra gigabyte of storage space from a cloud VM provider, but much more difficult to build a new local data server for that extra gigabyte of data.)</li><li>Hosting services like email and access management - Hosting these services on cloud VMs is generally faster and more cost-effective, and helps minimize maintenance and offload security concerns as well.</li></ul>","materialsDescription":"What is an operating system?\r\nTraditional computers are built out of physical hardware, including hard disk drives, processor chips, RAM, etc. In order to utilize this hardware, computers rely on a type of software known as an operating system (OS). Some common examples of OSes are Mac OSX, Microsoft Windows, Linux, and Android.\r\nThe OS is what manages the computer’s hardware in ways that are useful to the user. For example, if the user wants to access the Internet, the OS directs the network interface card to make the connection. If the user wants to download a file, the OS will partition space on the hard drive for that file. The OS also runs and manages other pieces of software. For example, it can run a web browser and provide the browser with enough random access memory (RAM) to operate smoothly. Typically, operating systems exist within a physical computer at a one-to-one ratio; for each machine, there is a single OS managing its physical resources.\r\n<span style=\"font-weight: bold;\">Can you have two or more operating systems on one computer?</span>\r\nSome users want to be able to run multiple operating systems simultaneously on one computer, either for testing or one of the other reasons listed in the section below. This can be achieved through a process called virtualization. In virtualization, a piece of software behaves as if it were an independent computer. This piece of software is called a virtual machine, also known as a ‘guest’ computer. (The computer on which the VM is running is called the ‘host’.) The guest has an OS as well as its own virtual hardware.\r\n‘Virtual hardware’ may sound like a bit of an oxymoron, but it works by mapping to real hardware on the host computer. For example, the VM’s ‘hard drive’ is really just a file on the host computer’s hard drive. When the VM wants to save a new file, it actually has to communicate with the host OS, which will write this file to the host hard drive. Because virtual hardware must perform this added step of negotiating with the host to access hardware resources, virtual machines can’t run quite as fast as their host computers.\r\nWith virtualization, one computer can run two or more operating systems. The number of VMs that can run on one host is limited only by the host’s available resources. The user can run the OS of a VM in a window like any other program, or they can run it in fullscreen so that it looks and feels like a genuine host OS.\r\n <span style=\"font-weight: bold; \">What are virtual machines used for?</span>\r\nSome of the most popular reasons people run virtual machines include:\r\n<span style=\"font-weight: bold; \">Testing</span> - Oftentimes software developers want to be able to test their applications in different environments. They can use virtual machines to run their applications in various OSes on one computer. This is simpler and more cost-effective than having to test on several different physical machines.\r\n<span style=\"font-weight: bold; \">Running software designed for other OSes</span> - Although certain software applications are only available for a single platform, a VM can run software designed for a different OS. For example, a Mac user who wants to run software designed for Windows can run a Windows VM on their Mac host.\r\n<span style=\"font-weight: bold; \">Running outdated software</span> - Some pieces of older software can’t be run in modern OSes. Users who want to run these applications can run an old OS on a virtual machine.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Virtual_machine_and_cloud_system_software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":279,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Intel_R__Storage_System.png","logo":true,"scheme":false,"title":"Intel® Storage System","vendorVerified":0,"rating":"1.90","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":8,"alias":"intelr-storage-system","companyTitle":"Intel","companyTypes":["vendor"],"companyId":2800,"companyAlias":"intel","description":"Chassis Dimensions<span style=\"white-space:pre\">\t</span>16.93&quot; x 24.95&quot; x 3.44&quot;\r\n\r\nIncluded Items<span style=\"white-space:pre\">\t</span>(24) 2.5&quot; Hot-swap drive carriers, (1) Backplane, (2) 460W Redundant power supplies, (1) Power distribution board, (3) Hot-swap redundant system fans, (1) Control panel, (2) Internal to external sas connector converter boards, (2) Dual-port internal interface card, (2) Expanders, (16) internal SAS cables, (1) Rack handle set, (1) Value rail kit\r\n\r\nFront Drive Form Factor<span class=\"Apple-tab-span\" style=\"white-space:pre\">\t</span>Hot-swap 2.5&quot;\r\n","shortDescription":"Intel® Storage System is an A 2U JBOD Storage system with 24 2.5\" dual-ported drives, dual expanders, hot-swap redundant fans,and hot-swap redundant power supplies.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":13,"sellingCount":4,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Intel® Storage System","keywords":"Hot-swap, internal, Factor, Dual-port, interface, card, boards, converter","description":"Chassis Dimensions<span style=\"white-space:pre\">\t</span>16.93&quot; x 24.95&quot; x 3.44&quot;\r\n\r\nIncluded Items<span style=\"white-space:pre\">\t</span>(24) 2.5&quot; Hot-swap drive carriers, (1) Backplane, (2) 460W Redundant power supplies, (1) Power distributi","og:title":"Intel® Storage System","og:description":"Chassis Dimensions<span style=\"white-space:pre\">\t</span>16.93&quot; x 24.95&quot; x 3.44&quot;\r\n\r\nIncluded Items<span style=\"white-space:pre\">\t</span>(24) 2.5&quot; Hot-swap drive carriers, (1) Backplane, (2) 460W Redundant power supplies, (1) Power distributi","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Intel_R__Storage_System.png"},"eventUrl":"","translationId":280,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":361,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/RackStation_serija_Plus.png","logo":true,"scheme":false,"title":"RackStation series Plus","vendorVerified":0,"rating":"1.90","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":2,"alias":"rackstation-series-plus","companyTitle":"Synology","companyTypes":["vendor"],"companyId":2822,"companyAlias":"synology","description":"Next-generation data protection and integrity\r\nWhen dealing with large-scale data storage, businesses require a solution that offers reliable backup and prevents file corruption. With support for the next-generation Btrfs file system, RackStation series Plus ensures information is stored with a high level of data integrity, while providing flexible and efficient data protection tools.\r\n\r\nFast and efficient snapshots\r\n\r\nSnapshots preserve the history of a shared folder allowing you to save up to 2561 backup copies for point-in-time recovery. Snapshots can be automatically captured up to every 5 minutes, without noticeably impacting system performance.\r\n\r\nMetadata mirroring and survivability\r\n\r\nBtrfs file system stores two copies of critical metadata on a volume, improving the availability and ensuring the integrity of your file system.\r\n\r\nCorruption detection and correction\r\n\r\nBtrfs generates checksums for data and metadata, and then verifies the checksums during each read process to ensure the integrity of the filesystem and files. If the file system discovers a mismatch, metadata will be repaired to keep file system consistent. In the mean time, corrupted files will be reported and logged.\r\n\r\nCustomizable quotas for shared folders\r\n\r\nWith Btrfs, you can specify a storage limit for each shared folder, making it possible to precisely control space consumption when multiple teams or departments save files on the same Synology NAS server.\r\n\r\nQuad-core CPU for speedy performance\r\nRackStation series Plus is powered by a quad-core CPU running at 2.4 GHz. Combined with 2GB of DDR3 RAM (expandable to 6GB), it delivers blazing-fast performance over 450 MB/s reading and 380 MB/s writing2. This kind of power makes it easy for RackStation series Plus to run multiple applications and deliver consistently high throughput to all connected clients.\r\n\r\nOn-the-fly scalability up to 24 drives\r\nAs your data storage needs grow, RackStation series Plus can be connected to a dedicated RackStation series Plus expansion unit3, allowing you to expand storage capacity to 24 drives for a total of 192TB4 without disrupting service. The specially-designed connection cables ensure high-speed data transmission between the main server and expansion unit.\r\n","shortDescription":"Designed for growing businesses, RackStation series Plus is a powerful network-attached storage solution featuring schedulable snapshots and resilient data integrity powered by the Btrfs file system, on-the-fly scalability up to 24 drives, as well as reliable performance required by modern workplaces.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":5,"sellingCount":15,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"RackStation series Plus","keywords":"data, system, series, RackStation, file, Plus, Btrfs, integrity","description":"Next-generation data protection and integrity\r\nWhen dealing with large-scale data storage, businesses require a solution that offers reliable backup and prevents file corruption. With support for the next-generation Btrfs file system, RackStation series Plus e","og:title":"RackStation series Plus","og:description":"Next-generation data protection and integrity\r\nWhen dealing with large-scale data storage, businesses require a solution that offers reliable backup and prevents file corruption. With support for the next-generation Btrfs file system, RackStation series Plus e","og:image":"https://old.roi4cio.com/fileadmin/user_upload/RackStation_serija_Plus.png"},"eventUrl":"","translationId":362,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":823,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/FUJITSU_Integrated_System_PRIMEFLEX_for_Storage_Spaces_Direct.png","logo":true,"scheme":false,"title":"FUJITSU Integrated System PRIMEFLEX for Storage Spaces Direct","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":13,"alias":"fujitsu-integrated-system-primeflex-for-storage-spaces-direct","companyTitle":"Fujitsu","companyTypes":["vendor"],"companyId":2750,"companyAlias":"fujitsu","description":"For a quick setup of a Microsoft-based hyper-converged IT infrastructure, Fujitsu offers with PRIMEFLEX for Storage Spaces Direct an integrated system including all hardware and software to simplify procurement and deployment of a Microsoft-based hyper-converged IT infrastructure. The solution leverages high performance and energy-efficient Fujitsu PRIMERGY standard x86 servers and software-defined server and storage technology integrated in Microsoft Windows Server 2016 to reduce complexity and TCO in data center infrastructure operations. In order to meet specific customer requirements, Fujitsu offers a range of validated server configurations including single point of contact for support. Customer benefits at a glance:\r\nFast time to production for your virtual infrastructure\r\nEasy to order, deploy, operate and scale\r\nHigh performance, availability and efficiency\r\nGrow as you go with no large upfront investments\r\nReduce storage costs, save floor space, power and cooling expenses\r\nSingle point of contact for support","shortDescription":"Fast track to your Microsoft hyper-converged IT infrastructure\r\nWhile converged infrastructure deployment models have greatly improved data center operations in the last couple of years, many organizations are now looking at hyper-converged infrastructures (HCI) as the next step forward by leveraging the software defined design principles to further streamline the convergence of infrastructure. These systems are designed to be simple, resilient, and agile in order for IT organizations to respond to the needs of their business through the ability to easily adapt their infrastructure to the actual demand.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"FUJITSU Integrated System PRIMEFLEX for Storage Spaces Direct","keywords":"infrastructure, Fujitsu, contact, offers, integrated, including, server, storage","description":"For a quick setup of a Microsoft-based hyper-converged IT infrastructure, Fujitsu offers with PRIMEFLEX for Storage Spaces Direct an integrated system including all hardware and software to simplify procurement and deployment of a Microsoft-based hyper-converg","og:title":"FUJITSU Integrated System PRIMEFLEX for Storage Spaces Direct","og:description":"For a quick setup of a Microsoft-based hyper-converged IT infrastructure, Fujitsu offers with PRIMEFLEX for Storage Spaces Direct an integrated system including all hardware and software to simplify procurement and deployment of a Microsoft-based hyper-converg","og:image":"https://old.roi4cio.com/fileadmin/user_upload/FUJITSU_Integrated_System_PRIMEFLEX_for_Storage_Spaces_Direct.png"},"eventUrl":"","translationId":823,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1097,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/FUJITSU_Storage_ETERNUS_CS200c_S4.png","logo":true,"scheme":false,"title":"Fujitsu Storage ETERNUS CS200c S4","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":13,"alias":"fujitsu-storage-eternus-cs200c-s4","companyTitle":"Fujitsu","companyTypes":["vendor"],"companyId":2750,"companyAlias":"fujitsu","description":"<span style=\"font-weight: 700; \">Features<span style=\"white-space:pre\">\t</span>and Benefits:</span>\r\n<span style=\"font-weight: 700; \">Integrates correctly-sized system technology and leading data protection software&nbsp;</span>\r\nEasy and fast deployment, simple to purchase\r\nMaximizes resources\r\nBudget security\r\n<span style=\"font-weight: 700; \">Backup, archiving and deduplication capabilities&nbsp;</span><span style=\"font-weight: 700;\">within one appliance</span>\r\nManaging the complete data lifecycle efficiently\r\nReduces network requirements and storage costs\r\n<span style=\"font-weight: 700; \">Protects a wide range of applications, virtual and hyper-converged infrastructures with a single integrated solution</span>\r\nIncreases availability and recoverability meeting highest RTO/RPO demands\r\nCuts cost and downtime","shortDescription":"The FUJITSU Storage ETERNUS CS200c simplifies data protection and management in a single integrated solution for the digital world. Industry-leading software from Commvault is perfectly aligned with powerful Fujitsu system technology providing excellent features for business efficiency and continuity. The appliance addresses the challenges in protecting business applications, virtualized and hyper-converged environments and facilitates compliance with regulations.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":13,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Fujitsu Storage ETERNUS CS200c S4","keywords":"data, range, wide, hyper-converged, virtual, applications, costs, Reduces","description":"<span style=\"font-weight: 700; \">Features<span style=\"white-space:pre\">\t</span>and Benefits:</span>\r\n<span style=\"font-weight: 700; \">Integrates correctly-sized system technology and leading data protection software&nbsp;</span>\r\nEasy and fast deployment, simp","og:title":"Fujitsu Storage ETERNUS CS200c S4","og:description":"<span style=\"font-weight: 700; \">Features<span style=\"white-space:pre\">\t</span>and Benefits:</span>\r\n<span style=\"font-weight: 700; \">Integrates correctly-sized system technology and leading data protection software&nbsp;</span>\r\nEasy and fast deployment, simp","og:image":"https://old.roi4cio.com/fileadmin/user_upload/FUJITSU_Storage_ETERNUS_CS200c_S4.png"},"eventUrl":"","translationId":1098,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":859,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Dell_EMC_dlja_rezervnogo_kopirovanija_i_vosstanovlenija_dannykh.png","logo":true,"scheme":false,"title":"Dell EMC для резервного копирования и восстановления данных","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":59,"alias":"dell-emc-dlja-rezervnogo-kopirovanija-i-vosstanovlenija-dannykh","companyTitle":"Dell EMC","companyTypes":["vendor"],"companyId":955,"companyAlias":"dell-emc","description":"Обзор Решения Dell EMC для резервного копирования и восстановления данных\r\n&nbsp;Дисковая система резервного копирования и восстановления данных &nbsp;Ленточные системы резервного копирования и восстановления &nbsp;Защита данных &nbsp; &nbsp; &nbsp;Дисковая система резервного копирования и восстановления данныхЛенточные системы резервного копирования и восстановленияЗащита данных\r\n\r\nРезервное копирование на съемные дисковые накопители и непрерывная защита данных\r\n\r\nЭкономичное и надежное резервное копирование, архивирование и удаленное хранение данных.\r\n\r\nСэкономьте время и деньги и повысьте эффективность работы ИТ-отдела с помощью упрощенного комплексного подхода к развертыванию систем.","shortDescription":"Надежное резервное копирование на диск или ленточный накопитель, удаленное хранение, непрерывная защита данных и долгосрочное архивирование.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":19,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Dell EMC для резервного копирования и восстановления данных","keywords":"данных, копирования, резервного, восстановления, Дисковая, система, Dell, копирование","description":"Обзор Решения Dell EMC для резервного копирования и восстановления данных\r\n&nbsp;Дисковая система резервного копирования и восстановления данных &nbsp;Ленточные системы резервного копирования и восстановления &nbsp;Защита данных &nbsp; &nbsp; &nbsp;Дисковая си","og:title":"Dell EMC для резервного копирования и восстановления данных","og:description":"Обзор Решения Dell EMC для резервного копирования и восстановления данных\r\n&nbsp;Дисковая система резервного копирования и восстановления данных &nbsp;Ленточные системы резервного копирования и восстановления &nbsp;Защита данных &nbsp; &nbsp; &nbsp;Дисковая си","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Dell_EMC_dlja_rezervnogo_kopirovanija_i_vosstanovlenija_dannykh.png"},"eventUrl":"","translationId":7011,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1690,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png","logo":true,"scheme":false,"title":"NetApp Ontap AI","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-ontap-ai","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI innovation and productivity.\r\n<span style=\"font-weight: 700; \"><br /></span>\r\n<span style=\"font-weight: 700; \">NVIDIA + NetApp</span>\r\nONTAP AI : Built on a verified architecture that combines NVIDIA DGX-1 supercomputers, NetApp AFF storage, and Cisco networking supercharges your AI/DL environments.\r\n<span style=\"font-weight: 700; \">Industry-leading NVIDIA DGX-1 AI supercomputers.</span>\r\nAt the heart of ONTAP AI is the NVIDIA DGX-1 supercomputer, a fully-integrated hardware and software turnkey system that is purpose-built for DL. The DGX platform leverages the NVIDIA GPU Cloud Deep Learning Software Stack, which is optimized for maximum GPU accelerated DL performance.\r\n<span style=\"font-weight: 700; \"><br /></span>\r\n<span style=\"font-weight: 700; \">The world’s fastest cloud-connected flash: NetApp AFF systems</span>\r\nNetApp AFF systems keep data flowing to DL processes with the industry’s fastest and most flexible all flash storage, featuring the world’s first end-to-end NVMe technologies. The A800 is capable of feeding data to NVIDIA DGX-1 systems up to 4 times faster than competing solutions","shortDescription":"NetApp's and Nvidia's NetApp Ontap AI combines NetApp’s hybrid cloud data services and AFF A800 cloud-connected all-flash storage with Nvidia’s GPU-powered DGX supercomputers.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":15,"sellingCount":4,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp Ontap AI","keywords":"","description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI inn","og:title":"NetApp Ontap AI","og:description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI inn","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png"},"eventUrl":"","translationId":1691,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":419,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/KHranilishcha_HP_EVA.jpg","logo":true,"scheme":false,"title":"HP EVA Storage","vendorVerified":0,"rating":"2.00","implementationsCount":9,"suppliersCount":0,"supplierPartnersCount":452,"alias":"hp-eva-storage","companyTitle":"Hewlett Packard Enterprise","companyTypes":["supplier","vendor"],"companyId":172,"companyAlias":"hewlett-packard-enterprise","description":"Overview\r\nEVA_Page\r\nLean IT budgets require more efficient ways of managing data. Driving business growth and agility requires simple yet flexible storage that reduces costs while maintaining application availability.\r\nWith an installed base of over 100,000, mid-sized organizations count on HP EVA Storage. This fifth-generation, virtualized storage array provides availability while increasing productivity and capacity utilization.\r\n\r\nFor medium-sized companies:\r\nDecrease storage management cost by 20-30%.1\r\nBalance price and performance with dynamic storage tiering and non-disruptive data migration.","shortDescription":"HP EVA Storage - fifth-generation, virtualized storage array provides availability while increasing productivity and capacity utilization.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":18,"sellingCount":12,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"HP EVA Storage","keywords":"storage, data, while, availability, Storage, increasing, organizations, productivity","description":"Overview\r\nEVA_Page\r\nLean IT budgets require more efficient ways of managing data. Driving business growth and agility requires simple yet flexible storage that reduces costs while maintaining application availability.\r\nWith an installed base of over 100,000, m","og:title":"HP EVA Storage","og:description":"Overview\r\nEVA_Page\r\nLean IT budgets require more efficient ways of managing data. Driving business growth and agility requires simple yet flexible storage that reduces costs while maintaining application availability.\r\nWith an installed base of over 100,000, m","og:image":"https://old.roi4cio.com/fileadmin/user_upload/KHranilishcha_HP_EVA.jpg"},"eventUrl":"","translationId":420,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":164,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetApp_E-Series.jpg","logo":true,"scheme":false,"title":"NetApp E-Series","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-e-series","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, replication, point-in-time recovery, and thin provisioning.\r\nI get a lot of questions about how E-Series fits in the NetApp portfolio, so I thought I'd start by answering those questions before digging into the specifics of products and use cases.\r\nWhere E-Series Fits\r\n\r\nIf you're not familiar with the E-Series design and speeds and feeds, Tech OnTap published an introductory article in March 2013, which is a good place to start.\r\nTwo major criteria differentiate E-Series from FAS:\r\nDedicated storage. FAS is designed as shared storage; lots of different workloads share the same storage system. E-Series is a better fit for applications that need dedicated storage such as SAN-based business apps, dedicated backup targets, and high-density storage repositories.\r\nData management. FAS integrates a wide range of data management, data protection, and storage efficiency features as part of the storage system. However, if you have an application that manages its own data, those capabilities might just sit idle, and E-Series is a great alternative.\r\nWhere FAS delivers incredible storage efficiency, E-Series is designed to deliver performance efficiency with excellent price/performance from entry to enterprise, maximum disk I/O for minimum cost, and sustained high bandwidth and IOPS.\r\nHere are a few additional things that you may want to know about E-Series storage. Many of these are based on misconceptions that come up frequently:\r\nDoes not run Data ONTAP®. E-Series systems run a separate operating environment called SANtricity® that is unrelated to Data ONTAP.\r\nBlock only. E-Series is simple, streamlined SAN storage designed to deliver superior price/performance. E-Series does not directly support any NAS protocols.\r\nDirect host connections. All E-Series models can support direct high-speed SAS connections to hosts. You can share a single storage system among a small number of servers without the complexity of a network or SAN.\r\nSSD capable. All E-Series models can support both SSD and HDD. You can use SSDs as persistent storage or as part of an SSD cache.\r\nHighly available. All E-Series configurations can be configured with dual controllers for high availability. In fact, E-Series delivers 99.999% availability, just like FAS. NetApp AutoSupport™ is available for the E-Series platform.\r\nNot just for HPC. E-Series cut its teeth in scientific and technical environments and remains a great fit for those applications. However, it's also becoming popular for a wide range of business and general use cases.\r\nPlays well with FAS. Increasingly, we're seeing use cases that combine the strengths of FAS and E-Series storage. Check out the other articles in this issue on the EF550 and Oracle OpenWorld highlights for examples.","shortDescription":"E-Series is a great choice for situations where you need dedicated storage—especially where data management functions are handled by the application.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":13,"sellingCount":17,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp E-Series","keywords":"E-Series, storage, that, with, designed, just, those, cases","description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, repli","og:title":"NetApp E-Series","og:description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, repli","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetApp_E-Series.jpg"},"eventUrl":"","translationId":165,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":507,"title":"Mission Critical Storage","alias":"mission-critical-storage","description":" As enterprises become more digital, the role of mission-critical applications on which the functioning of the business depends. In practice, this requires more platform flexibility to serve both traditional applications and modern cloud computing.\r\nIT professionals who are already fully loaded with support for traditional corporate tools, such as virtualization or database management systems, have to implement and maintain modern applications such as containers or analytics.\r\nServer virtualization has almost become the main driver for the development of storage virtualization, especially since virtual machines have already penetrated quite a lot into the critical applications segment.\r\nData storage systems help to cope with the ever-growing volumes of data, allowing you to effectively work with information. Storage systems for mission-critical applications are focused on the needs of companies of various sizes - from remote branches to large enterprises with significant amounts of information.\r\nAlso many factors affect the selection of a data center location, but utility infrastructure, uptime, talent, and speed are always the focal points.\r\nFew people are unaware of the large electric loads (usage) of data centers. Naturally, due to the amount of power they need, data centers are very price-sensitive to a location’s cost of electricity. The cost is more than centers per kWh, though. Data centers have unique ramp-up needs and reserved capacity demands. The utility’s ability to accommodate these requirements can have a significant impact on cost. Likewise, the mission-critical aspect of the data center, requiring it to be online at all times, drives rigorous power redundancy and reliability requirements. The utility’s “cost-to-serve” and revenue credit policies must be factored into the overall cost of providing the requisite power.","materialsDescription":" <span style=\"font-weight: bold;\">What is mission-critical data?</span>\r\nA 'mission-critical' operation, system or facility may sound fairly straightforward – something that is essential to the overall operations of a business or process within a business. Essentially, something that is critical to the mission.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Mission_Critical_Storage.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1531,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Cloud_Infrastructure_Object_Storage_Classic.png","logo":true,"scheme":false,"title":"Oracle Cloud Infrastructure Object Storage Classic","vendorVerified":0,"rating":"2.40","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-cloud-infrastructure-object-storage-classic","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"<ul><li>Secure.&nbsp;Enterprise-grade data encryption with multiple layers of customer and server side protection, as well as role-based administration to reduce threats.</li><li>Resilient.&nbsp;Redundancy policies and self-healing technologies that ensure your data is highly available.</li><li>Elastic.&nbsp;Eliminate storage hardware planning with scalable capacity on-demand. Start small and grow to Petabytes or Exabytes, or shrink capacity as needs change.</li><li>Standards-Based.&nbsp;Manage data through an OpenStack Swift compatible REST API and Java library.</li><li>Simple.&nbsp;Oracle Cloud Infrastructure Storage Software Appliance provides a no-cost, integrated solution for easy file-based access to object and archive storage.</li></ul>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">&nbsp;</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Oracle Storage Cloud Service Offerings</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Oracle offers several storage tiers that can lower your total storage costs by striking a balance between access time and price points. A common interface makes storing data on the most cost effective tier simple.</span>\r\n\r\n<span style=\"font-weight: bold;\">Simplify Datacenter Operations</span>\r\n<ul><li>Scale with No New Hardware. Eliminates new capital expenditures, opens up data center space and reduces power and cooling requirements.</li><li>Elastic Storage. Shared infrastructure allows for infinite scalability. Eliminates forecasting and long procurement cycles.</li><li>Pay as You Go and Subscription Models. Purchase capacity with no commitment or reduce costs with longer-term agreements.</li><li>Simple to Manage. Industry standard OpenStack and RESTful APIs streamline management integration, freeing resources to accelerate other cloud projects.</li></ul>\r\n<span style=\"font-weight: bold;\">Data Security</span>\r\n<ul><li>Data at Rest. Optional client data encryption combined with optional encryption at the Oracle data center provides multi-level data security. Oracle Cloud Infrastructure Storage Software Appliance and Java SDK provide encryption at the customer site.</li><li>Data in Transit. SSL encrypts all data in transit.</li><li>Role-Based Access Control. Control which users have admin, read and write privileges at the container level.</li><li>Enterprise Data Centers. World class enterprise data center operations.</li></ul>\r\n<span style=\"font-weight: bold;\">Easy Access</span>\r\n<ul><li>Backup and Archive Application Integration. Integration with top backup and archive applications eases deployment with minimal disruption.</li><li>Oracle Cloud Infrastructure Storage Software Appliance. An easy on-ramp to Oracle’s storage cloud providing a POSIX compliant NFS interface. Serves as a NAS gateway to the cloud.</li><li>Standards Based Developer Tooling. Open Stack Swift based RestAPI, Java Applications (File Transfer Manager and Java API), Shell scripting (Upload CLI).</li><li>Robust Connectivity Options. Simple connectivity through the public internet and FastConnect Classic for the most demanding workloads.</li></ul>\r\n<span style=\"font-weight: bold;\">Robust Architecture</span>\r\n<ul><li>World-Class Data Durability. 11 9s data durability by maintaining multiple copies of each object on different devices. Periodic data integrity checks with self healing.</li><li>Geo-Replication. Automated replication of data to a geographically distant data center.</li><li>Privacy Aware. Stored data is never moved out of designated geographic regions.</li></ul>","shortDescription":"Enterprise-proven object storage and archive services for cloud-based data storage, sharing, and protection. ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":4,"sellingCount":9,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Cloud Infrastructure Object Storage Classic","keywords":"data, with, Oracle, Storage, Cloud, storage, Data, encryption","description":"<ul><li>Secure.&nbsp;Enterprise-grade data encryption with multiple layers of customer and server side protection, as well as role-based administration to reduce threats.</li><li>Resilient.&nbsp;Redundancy policies and self-healing technologies that ensure you","og:title":"Oracle Cloud Infrastructure Object Storage Classic","og:description":"<ul><li>Secure.&nbsp;Enterprise-grade data encryption with multiple layers of customer and server side protection, as well as role-based administration to reduce threats.</li><li>Resilient.&nbsp;Redundancy policies and self-healing technologies that ensure you","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Cloud_Infrastructure_Object_Storage_Classic.png"},"eventUrl":"","translationId":1531,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":374,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Universal_Storage_Platform_V.jpg","logo":true,"scheme":false,"title":"Hitachi Universal Storage Platform V","vendorVerified":0,"rating":"2.70","implementationsCount":3,"suppliersCount":0,"supplierPartnersCount":4,"alias":"hitachi-universal-storage-platform-v","companyTitle":"Hitachi Data Systems","companyTypes":["vendor"],"companyId":313,"companyAlias":"hitachi-data-systems","description":"\r\nUniversal Storage Platform V Specifications [9]\r\n\r\nFrames (Cabinets) - Integrated Control/Drive Group Frame and 1 to 4 optional Drive Group Frames\r\nUniversal Star Network Crossbar Switch - Number of switches 8\r\nAggregate bandwidth (GB/sec) - 106\r\nAggregate IOPS - Over 4 million\r\nCache Memory - Number of cache modules 1-32, Module capacity 8 or 16GB, Maximum cache memory 512GB\r\nControl/Shared Memory - Number of control memory modules 1-8, Module capacity 4GB, Maximum control memory 28GB\r\nFront End Directors (Connectivity)\r\nNumber of Directors 1-14\r\nFibre Channel host ports per Director - 8 or 16\r\nFibre Channel port performance - 4, 8 Gbit/s\r\nMaximum Fibre Channel host ports - 224\r\nVirtual host ports - 1,024 per physical port\r\nMaximum IBM FICON host ports - 112\r\nMaximum IBM ESCON host ports - 112\r\nLogical Devices (LUNs) — Maximum Supported\r\nOpen systems 65,536\r\nIBM z/OS 65,536\r\nDisks\r\nType: Flash 73, 146, 200 and 400GB\r\nType: Fibre Channel 146, 300, 450 and 600GB\r\nType: SATA II 1TB, 2TB\r\nNumber of disks per system (min/max) 4-1,152\r\nNumber spare disks per system (min/max) 1-40\r\nMaximum Internal Raw Capacity - (2TB disks) 2,268 TB\r\nMaximum Usable Capacity - RAID-5\r\nOpen systems (2TB disks) 1,972 TB\r\nz/OS-compatible (1TB disks) 931 TB\r\nMaximum Usable Capacity — RAID-6\r\nOpen systems (2TB disks) 1,690TB\r\nz/OS-compatible (1TB disks) 796 TB\r\nMaximum Usable Capacity — RAID-1+\r\nOpen systems (2TB disks) 1,130TB\r\nz/OS-compatible (1TB disks) 527.4TB\r\nOther Features\r\nRAID 1, 10, 5, 6 support\r\nMaximum internal and external capacity 247PB\r\nVirtual Storage Machines 32 max\r\nBack end directors 1-8\r\nOperating System Support\r\nMainframe - Fujitsu: MSP; IBM z/OS, z/OS.e, z/VM, zVSE, TPF; Red Hat; Linux for IBM S/390 and zSeries; SUSE: Linux Enterprise Server for System z.\r\nOpen systems - HP: HP-UX, Tru64 UNIX, Open VMS; IBM AIX; Microsoft Windows Server 2000, 2003, 2008; Novell NetWare; SUSE Linux Enterprise Server; Red Hat Enterprise Linux; SGI IRIX; Sun Microsystems Solaris; VMware ESX and Vsphere, Citrix XENserver\r\n","shortDescription":"At the core of the Universal Storage Platform V and VM is a fully fault tolerant, high performance, non-blocking, silicon based switched architecture designed to provide the bandwidth needed to support infrastructure consolidation of enterprise file and block-based storage services on and behind a single platform.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":2,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Hitachi Universal Storage Platform V","keywords":"Maximum, disks, Number, Open, host, ports, systems, Channel","description":"\r\nUniversal Storage Platform V Specifications [9]\r\n\r\nFrames (Cabinets) - Integrated Control/Drive Group Frame and 1 to 4 optional Drive Group Frames\r\nUniversal Star Network Crossbar Switch - Number of switches 8\r\nAggregate bandwidth (GB/sec) - 106\r\nAggregate I","og:title":"Hitachi Universal Storage Platform V","og:description":"\r\nUniversal Storage Platform V Specifications [9]\r\n\r\nFrames (Cabinets) - Integrated Control/Drive Group Frame and 1 to 4 optional Drive Group Frames\r\nUniversal Star Network Crossbar Switch - Number of switches 8\r\nAggregate bandwidth (GB/sec) - 106\r\nAggregate I","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Universal_Storage_Platform_V.jpg"},"eventUrl":"","translationId":375,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":["Decentralized IT systems"],"materials":[],"useCases":[],"best_practices":[],"values":["Enhance Staff Productivity","Reduce Costs"],"implementations":[{"id":258,"title":"Hitachi Content Platform Anywhere to Modernize Bank IT Management","url":"https://old.roi4cio.com/vnedrenija/vnedrenie/hitachi-content-platform-anywhere-to-modernize-bank-it-management/"}],"presenterCodeLng":"","productImplementations":[{"id":258,"title":"Hitachi Content Platform Anywhere to Modernize Bank IT Management","description":"Description is not ready yet","alias":"hitachi-content-platform-anywhere-to-modernize-bank-it-management","roi":0,"seo":{"title":"Hitachi Content Platform Anywhere to Modernize Bank IT Management","keywords":"","description":"Description is not ready yet","og:title":"Hitachi Content Platform Anywhere to Modernize Bank IT Management","og:description":"Description is not ready yet"},"deal_info":"","user":{},"supplier":{},"vendors":[{"id":313,"title":"Hitachi Data Systems","logoURL":"https://old.roi4cio.com/uploads/roi/company/hitachi.png","alias":"hitachi-data-systems","address":"","roles":[],"description":"Hitachi Data Systems (HDS) is a company that provides modular mid-range and high-end computer data storage systems, software and services. 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