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Test Valley Borough Council
Test Valley Borough Council
https://www.testvalley.gov.uk/
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Test Valley Borough Council
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Nimble Storage Adaptive Flash Storage Arrays (Hybrid)
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Test Valley Borough Council
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Softcat
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Nimble Storage
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Like every other local authority, they strive to deliver cost-effective, high-value services to the population they serve. One way in which they’re able to do this is by sharing IT infrastructure and resources. This helps them to deliver significant economies of scale and enables both councils to provide standardised, consolidated and rationalised resources for upwards of 1,000 users.\r\n\r\n1,000 users\r\ncombined IT infrastructure provision\r\nHigh-speed access to data\r\nsupport and extend IT capabilities\r\nReductions in support overheads\r\nand licensing costs\r\nThe Challenge\r\nBoth Test Valley Borough Council and Winchester City Council depend on high-speed access to IT resources hosted in two datacentres located 18 miles apart. The existing Storage Area Network (SAN) infrastructure was coming to the end of its natural lifecycle and the IT Services team recognised that it would have to undergo an extensive upgrade to enable enhanced internal processes and efficiency gains. As both clients were considering the potential to offer IT and hosted services to third parties as well, it became clear that a radical solution delivering increased capacity, resilience and scalability was required.\r\n\r\nRecent investments in ‘thin client’ and VMware site recovery technologies needed to be protected with a high-speed, resilient technological backbone facilitating simplified installation and data migration, and support improved disaster recovery and business continuity functionality. The proposed solution also needed to support and extend current capabilities in an effort to future-proof the councils’ IT services portfolio. In effect, it needed to protect what the councils already had, have the potential to scale in response to increased demand and deliver increased capacity to cope with future IT developments.\r\n\r\n\r\n\r\nThe Solution\r\nSAN Technologies have moved on considerably in recent years. The old system, would need a significant upgrade to cope with future demands. When initially approached, Softcat explored numerous options and presented two potential solutions: an upgrade to the existing system or a radical new solution based on the very latest Flash-optimised hybrid storage array technology from Nimble.\r\n\r\nAlthough initially reluctant to consider a technology with which they were unfamiliar, the councils were extremely impressed with Softcat’s business case for the new technology. “Although we were happy with the existing technology the Nimble offering looked particularly attractive, almost too good to be true,” said Tony Fawcett, Head of IT Services. “Softcat provided a wealth of information, including technical proposals, case studies and even went as far as to set up a demo that clearly illustrated the achievable performance improvements. This helped convince us that the Nimble solution would deliver the performance, resilience and cost savings we sought. We knew it would be a risk moving from what we had experience in and were familiar with, but Softcat gave us the confidence to take the leap of faith required to bring our storage and disaster recovery functions bang up to date.”\r\n\r\nThe Nimble solution would be up to 5 times faster than the existing system and could also deliver increased capacity, simpler management, the required scalability and reduced licensing costs going forward. Its broad suite of support functions would help shift the councils’ disaster recovery processes towards a more sustainable business continuity model. Nimble would also provide a dedicated engineer to ensure a seamless implementation and ongoing support.\r\n\r\n\r\n\r\nThe Benefits\r\nThe solution was implemented in just two days – a phenomenal timescale that exceeded the clients’ expectations and caused minimal disruption. The presence of Nimble’s own dedicated engineer went a long way towards making the transition as smooth as possible. Tony comments, “Softcat has set the bar very high with the speed, quality and seamlessness of the implementation. The knowledge and hands-on approach of both Softcat and the Nimble engineer helped ensure that it was significantly quicker than previous implementations.”\r\n\r\nThe new technology has provided a high-speed backbone delivering 10 gigabits per second performance and has more than justified any initial reservations. “It’s a risk that’s been fully vindicated in the first six months of use. We’re benefitting from increased capacity, simplicity and scalability and our ongoing licensing costs will be dramatically reduced. We also have a system that easily scales to meet new demands without incurring added costs” continues Tony.\r\n\r\nThe new solution has enabled the clients to make the most of their existing IT estate and embrace future developments in their efforts to provide optimal service to the system’s users. Should an interruption now occur, the system is capable of repairing itself without users noticing. Backed up by the new solution, the existing thin client estate is performing better than it did before, delivering faster emails, faster file saving and subsequent savings on cost and resources.\r\n\r\nFrom the outset it was important that the solution implemented by Softcat enabled the councils to deliverer a more sustainable service. The Nimble solution uses significantly less power, takes up less space in the datacentre and has enabled an 80 per cent reduction in the hardware required to deliver essential services – all of which helps underpin the councils’ efforts to reduce their carbon footprint and achieve their corporate social responsibility (CSR) targets for greener solutions.\r\n\r\nData recovery and business continuity functions have also been significantly improved since the implementation. The solution proactively monitors and notifies the client of any issues affecting performance. In effect, the system self-heals and then notifies the client that the problem has been rectified in real time, delivering a 24/7 overview of system performance that has radically simplified maintenance of key resources. For example, checking the separate back-up storage facilities previously took around an hour to complete. With the new system in place the task can now be completed in as little as two minutes. \r\n\r\nOverall, the new system simply handles data more efficiently, is leaner, greener and continuously assists in improving the productivity of the system’s users. It has helped to reduce support overheads, saved time and has enabled much more effective business continuity processes. It has also radically simplified the management of ongoing data access due to its capacity to save time on every interaction across the network. As Tony is keen to stress, “this has been one of the best experiences with the implementation of new technology I’ve ever been involved in. At first we had concerns that performance levels wouldn’t match our expectations, but the new system has had a positive impact on every facet of our IT operations and it’s something I’m happy to shout about!”\r\n\r\n\r\n\r\nWhy Softcat?\r\nThe client's decision to implement the Nimble solution was very much driven by their faith in Softcat’s impressive track record of implementing public sector IT projects and deep industry knowledge of the technology marketplace. From the outset, Softcat’s willingness to provide a wealth of technical information and real-world evidence of the solution’s effectiveness helped to overcome any reservations about embracing an unfamiliar technological platform.\r\n\r\n“Softcat opened our eyes to an alternative technology and it’s proved to be exactly the right decision to make. Despite our initial reservations, we’ve been mightily impressed with Softcat’s efficiency, flexibility and helpfulness as the project has progressed, and they’ve made us feel like a priority customer throughout.We’re that confident in the quality of the solution that it genuinely is helping us to sleep at night!” said Tony. \r\n\r\nKey Facts\r\n\r\nTotal population of just under 250,000 residents\r\nCombined IT infrastructure provision\r\nUpwards of 1,000 users\r\n High-value IT service delivery\r\nCritical Success Factors\r\n\r\nEnable high-speed, resilient access to data\r\nUpgrade SAN infrastructure to protect recent IT investments\r\nSupport and extend current IT capabilities\r\nSolution Highlights\r\n\r\nFlash-optimised hybrid storage array technology \r\nFaster, more resilient disaster recovery and business continuity\r\nIncreased capacity, simpler management and scalability\r\nDedicated engineer to oversee implementation\r\nAt a glance\r\n\r\nRapid, seamless implementation in just two days\r\nHigh-speed (10 gigabits per second) backbone\r\nPerformance improvements: leaner, greener and simpler to manage\r\nReductions in support overheads and licensing costs","alias":"nimble-storage-adaptive-flash-storage-arrays-hybrid","roi":0,"seo":{"title":"Nimble Storage Adaptive Flash Storage Arrays (Hybrid)","keywords":"that, solution, with, system, technology, Nimble, Softcat, support","description":"Test Valley Borough Council and Winchester City Council in Hampshire serve a combined population of just under 250,000 residents. 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It produces hardware and software products for data storage, specifically data storage arrays that use the iSCSI and Fibre Channel protocols and includes data backup and data protection features.\r\n\r\nNimble was founded in 2008 with the core belief that flash, cloud and big data analytics would disrupt the storage market.\r\nWe believed that these catalysts created an opportunity to deliver unprecedented application performance and infrastructure with non-stop availability.\r\nWe translated our beliefs into the Predictive Flash Platform, comprised of two core technologies.\r\nA single consolidation architecture, powered by our flash optimized file system, combines All Flash and Adaptive Flash arrays into a single managed entity. With one click, it accelerates, protects, and scales to meet changing application needs.\r\nOur cloud-connected management system monitors our customers’ infrastructure in real-time to predict and prevent downtime and radically simplify planning.\r\nFounded: 2008 and shipped first product: 2010\r\nNYSE: NMBL\r\nHeadquarters: San Jose, California, USA\r\nCustomers: 8,000+ in 50 countries\r\nRevenue: USD $322,000,000 (FY 2016)","companyTypes":[],"products":{},"vendoredProductsCount":1,"suppliedProductsCount":1,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":1,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"https://www.nimblestorage.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Nimble Storage","keywords":"data, storage, Flash, that, 2008, Nimble, flash, into","description":"Nimble Storage is a predictive flash storage technology company based in San Jose, California founded in early 2008. It produces hardware and software products for data storage, specifically data storage arrays that use the iSCSI and Fibre Channel protocols an","og:title":"Nimble Storage","og:description":"Nimble Storage is a predictive flash storage technology company based in San Jose, California founded in early 2008. It produces hardware and software products for data storage, specifically data storage arrays that use the iSCSI and Fibre Channel protocols an","og:image":"https://old.roi4cio.com/uploads/roi/company/Nimble_Storage.png"},"eventUrl":""}],"products":[{"id":502,"logo":false,"scheme":false,"title":"Nimble Storage Adaptive Flash Storage Arrays (Hybrid)","vendorVerified":0,"rating":"1.40","implementationsCount":1,"suppliersCount":0,"alias":"nimble-storage-adaptive-flash-storage-arrays-hybrid","companyTypes":[],"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"},"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 & 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 & 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 "chunk" 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":[]}],"countries":[{"id":74,"title":"United Kingdom","name":"GBR"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":7,"title":"Improve Customer Service"}]}},"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 & 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 & 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 "chunk" 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. 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