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Pavilion statistics methods, an trade leader in NVMe-oF storage applied sciences, announced nowadays that it has joined the Storage Networking business association (SNIA) in an effort to create specifications round NVMe-oF for statistics administration and protection, including to its ongoing efforts as a contributor to NVM express. The company is also asserting its selection as a finalist in the Storage journal and SearchStorage 2018 items of the year awards in the commercial enterprise Storage Arrays class. The entries had been judged on here criteria: innovation, efficiency, ease of integration, ease of use and manageability, functionality and price.
“The business storage arrays considered for their 2018 Storage journal and SearchStorage items of the yr awards verify analysts' predictions: statistics facilities this year began to adopt nonvolatile reminiscence express (NVMe) flash storage,” states the article. “The subsequent phase is anticipated to usher in requirements-primarily based NVMe over fabric, featuring a connective tissue to wholly permit the NVMe interface.”
Pavilion was recognized for its ingenious approach, which “eschews the typical two-controller design for a modular design that enables racks of storage to be custom-made for several types of purposes.” The writer additionally notes that “assorted types of NVMe SSDs could be deployed within the identical system, with dedicated storage for different purposes.”
“in the past, Direct attached Storage (DAS) became the simplest alternative that met their performance necessities, however had colossal flaws in scalability and in administration,” referred to John legislation, community supervisor at Holley performance products. “Our new Pavilion equipment gives you the identical performance level as their outdated PCI-E flash storage, however gives us lower back the management, flexibility, and especially the scalability of a true enterprise-degree storage array.As an early adopter of NVMe-oF, i am joyful to look Pavilion facts sharing its capabilities and collaborating in business requirements work to assist the community bring the next wave of NVMe know-how to the market.”
“At SNIA, they dwell on correct of the latest storage tendencies, making certain that at the side of business specialists and vendors they create, help and promote standards benefiting purchasers in every single place the area,” mentioned Michael Oros, SNIA executive director. “NVMe-oF is now probably the most most popular and most interesting storage interconnect technologies available and they welcome companies such as Pavilion statistics to collaborate with their neighborhood, demonstrating the true advantages of this know-how via interoperability and business workloads.”
“we're honored to be diagnosed via the TechTarget storage editorial team within the 17 [th] annual storage award program and we're glad to lead the NVMe-oF innovation and adoption happening today within the storage market,” stated Gurpreet Singh, CEO of Pavilion facts. “Our NVMe-oF Storage Platform is being abruptly adopted by main brands, thanks to Direct-attached Storage (DAS)-like performance of NVMe combined with the facets you've got come to are expecting from enterprise SAN arrays.”
About Pavilion information programs
Pavilion statistics systems empowers organizations to make enhanced selections, quicker. Pavilion’s extremely-fast, rack-scale NVMe-over-material Storage Platform ingests, processes, outlets and serves an order of magnitude greater facts for massively-parallel, up to date purposes. Pavilion’s options allow web and SaaS businesses, cloud service suppliers and enterprises to deliver company-important purposes at the speed of direct-connected storage, yet with the economics, reliability, manageability and information functions of shared storage. To discover more, seek advice from www.paviliondata.com or comply with the company on Twitter at www.twitter.com/paviliondata.
View source version on businesswire.com: https://www.businesswire.com/news/domestic/20190129005375/en/
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NGD programs Co-Chairs New SNIA Computational Storage Technical Work group
"as the market leader in Computational Storage products, NGD systems is excited to aid the TWG as it enables the Computational Storage ecosystem." – Scott Shadley, co-chair of the SNIA Computational Storage TWG and Vice-President of advertising at NGD programs
IRVINE, Calif. (PRWEB) November 12, 2018
today NGD systems announced that they've joined a newly shaped SNIA Technical Work community (TWG) as a way to focus on Computational Storage. The goal of the Computational Storage TWG can be to create standards to promote the interoperability of computational storage devices, in addition to to define interface requisites for equipment deployment, provisioning, management, and safety. As a leading dealer in the Computational Storage market, NGD methods will actively force the efforts of this group.
“suit ecosystems are crucial for brand new technologies, and the introduction of the SNIA Computational Storage TWG will provide a discussion board to construct the requirements necessary to make certain the success of these new markets,” pointed out Mark Carlson, Co-chair Technical Council at the Storage Networking trade association. “SNIA’s background in producing successful standards and necessities, the wide SNIA construction ecosystem and dependent infrastructure assisting large member participation and collaboration, are all conducive elements to speedy requirements development. The advent of this TWG will reinforce the ecosystem with the aid of merchandising industry training and interoperability between computational storage contraptions.”
The issues with most new applied sciences is that that they disrupt the present ecosystem of solutions, and at the identical time require large effort to construct up a brand new ecosystem to assist the items. here is elaborate as a result of most (if no longer all) of the groups developing the new applied sciences are startups. This “disruption cycle” is additionally dangerous for skills purchasers, who're involved about dealer lock-in and the skill of startups to reside in enterprise. requirements businesses like the SNIA Computational Storage TWG help through addressing areas equivalent to interoperability and standardization of management for brand spanking new applied sciences.
“NGD systems welcomes the introduction of the SNIA TWG for Computational Storage,” referred to Scott Shadley, co-chair of the SNIA Computational Storage TWG and Vice-President of advertising at NGD systems. “Computational Storage will revolutionize the analysis of petabyte-scale datasets through minimizing facts circulation between servers and storage, which has been confirmed to drastically increase utility efficiency. as the market leader in Computational Storage products, NGD programs is happy to assist the TWG because it enables the Computational Storage ecosystem .”
About NGD SystemsFounded in 2013 with its headquarters in Irvine, California, NGD methods is a undertaking-funded business focused on advent of new category of storage devices that brings computation to information. NGD has designed its superior proprietary NVMe controller technology which deploys patented Elastic FTL algorithm and advanced LDPC Engines to give industry leading skill and scalability. The platform also deploys the patented In-Situ Processing technology to allow Computational Storage means. The company is led by means of an government team that helped force and shape the flash storage trade, with decades in management positions with storage businesses such as Western Digital, STEC, Memtech, and Micron. For greater assistance, please talk over with https://www.ngdsystems.com.
Kimber Smith Fidler G2M Inc. for NGD programs+1 (775) 298 5260Email >NGD PR NGD Systems949-870-9148Email > consult with site
Posted on April thirtieth, 2018 by means of Anna Ribeiro
The Storage Networking industry association (SNIA), the dispensed management task drive (DMTF), and the NVM specific groups announced Monday at NVM specific Developer Day, the formation of a brand new alliance to coordinate specifications for managing solid state power (SSD) storage contraptions.
This alliance brings collectively numerous agencies and specifications for managing the difficulty of scale-out management of SSD’s to aid improve the interoperable management of suggestions technologies to allow a holistic administration journey.
SNIA and the DMTF have labored collectively as part of the DMTF’s Alliance accomplice software for a long time. Most recently, to prolong DMTF’s Redfish API to outline the SNIA’s Swordfish general for management of storage equipment and services.
NVM specific is an open assortment of specifications and suggestions to thoroughly expose the merits of non-unstable memory (NVM) in all types of computing environments from cell to data middle. it's the register interface and command set for PCI categorical connected storage with business usual utility available for numerous operating programs. The NVM specific management Interface (NVMe-MI) is the command set and architecture for administration of NVM categorical storage (e.g., discovering, monitoring, and updating NVMe gadgets the usage of a BMC).
DMTF’s management element Transport Protocol (MCTP) is a protocol and Platform level facts mannequin (PLDM) is a low-stage facts mannequin it truly is defined by using the DMTF Platform administration components Intercommunications (PMCI) Working neighborhood. MCTP is designed to support communications between distinct hardware components that make up a platform management subsystem that gives monitoring and control services interior a managed device.
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A recent Department of Homeland Security Privacy Impact Assessment on FEMA’s Federal Insurance and Mitigation Administration’s (FIMA) Electronic Document and Records Management System (EDRMS) identified privacy risks DHS’s privacy office assured are being mitigated, but which the PIA said are only as good as policies and practices are obeyed.
Nevertheless, in accordance with Office and Management (OMB) Memorandum M-12-18 (OMB M-12-18) – documents and records must be managed in an electronic format, DHS assured FIMA’s conversion of paper documents for storage in EDRMS complies with OMB’s requirements.
EDRMS collects, disseminates, retrieves, and maintains a numerous variety of FIMA documents and copies of records with personally identifiable information (PII) – including a variety of biometric information — from FIMA organizations.
Many of the documents in EDRMS originate from federal directorates and offices, and contain highly sensitive PII. EDRMS also includes PII such as FEMA users’ username in the record’s metadata and its audit logs.
DHS 4300A Sensitive Systems Handbook provides specific techniques and procedures – including biometric solutions — for implementing the requirements of the DHS Information Security Program for DHS sensitive systems and systems that process sensitive information for DHS.
As the publication notes, Sensitive Personally Identifiable Information (SPII) includes, but is not limited to biometric identifiers such as fingerprint, voiceprint, iris scan, and photographic facial images. “PII also includes any other unique identifying number or characteristic, and any information where it is reasonably foreseeable that the information will be linked with other information to identify the individual,” the document states.
Documents are submitted to EDRMS for storage by the following FIMA directorates and offices: the Risk Management Directorate, Mitigation Directorate, Fund Management Directorate, Federal Insurance Directorate, the Office of Environmental Planning and Historic Preservation, FIMA Legal Division, FIMA Flood Insurance Advocate, and FIMA Office of the Associate Administrator.”
FIMA also uses EDRMS for document management and record management, and for conversion of paper documents to an electronic format in compliance with the National Archives and Records Administration (NARA) requirements, OMB management of federal records guidance and regulations, and executive directives. EDRMS is used as central storage of FIMA documents that are electronically scanned and that are not stored in other FIMA information technology (IT) systems.
FIMA’s “mission is to increase the capabilities necessary to reduce loss of life and property by lessening the impact of disasters. These capabilities include, but are not limited to, community-wide risk reduction projects; the transfer of flood risk through insurance; efforts to improve the resilience of critical infrastructure and key resource lifelines; risk reduction for specific vulnerabilities from natural hazards or acts of terrorism; and initiatives to reduce future risks after a disaster has occurred.”
PII contained in the system include:
• Bank routing numbers;• Bank account numbers;• Unique Identifier (e.g., employer identification number (EIN), recipient account numbers, or Data Universal Numbering System (DUNS) Number);• Finance Unique Identification (number, employer/federal ID, etc.);• Mailing address;• Office phone number and extension;• Office cellphone number;• Office fax number; and• Work email address;
Among the risks include EDRMS users inputting incorrect records classification or metadata information which can cause an EDRMS user to inadvertently access records without an appropriate need to know. But, “FEMA cannot fully mitigate this risk due to possible human errors inherent with entering information into a system,” the PIA revealed.
In addition, FIMA is over-collecting information with information being stored in paper files and digitally in EDRMS or other FIMA-related systems. But, “FEMA does not fully mitigate this risk. EDRMS is not a requirement for all of FIMA to use. Some offices, therefore, may continue to use paper records while some are able to benefit from the use of EDRMS. EDRMS does not connect to any other FEMA system with the exception of the FEN and the FEIMS for security and access control.
FEMA may also maintain inaccurate or outdated data within EDRMS. This risk is also not mitigated.
There is also a privacy risk by the originating FIMA offices which do not provide notice through their own PIA documentation. This privacy risk is only partially mitigated so far.
There is also the risk that data within EDRMS may be used for an unintended or unauthorized purpose.
The PIA states, “Only authorized EDRMS users have access to documents and records stored in EDRMS. The authorization to create an EDRMS user account is the responsibility of the EDRMS program managers, the EDRMS system owner, and the originating FIMA office. It is the responsibility of the originating FIMA office to ensure its EDRMS users use retrieved EDRMS documents in accordance with its PIA and its SORN. Users’ access to data and functionality is based on the users’ location, position description, projects, and EDRMS user role assignment. EDRMS users are required to annually sign Rules of Behavior.”
There is a risk that PII and other personal information within EDRMS may be erroneously disclosed outside of DHS. The PIA stated, “Access to EDRMS is extremely limited based on various EDRMS parameters, including location and role-based access granted only for those individuals who need to know the information to perform their jobs. Sharing of information … is tracked by FEMA’s Information Management Division and the EDRMS system.”
According to DHS, “EDRMS is accessible only by FIMA employees and contractors within FEMA’s Enterprise Network (FEN), and is not accessible by the public. The EDRMS Regional Administrator and the System Owner authorize access to EDRMS records and documents based on the EDRMS user’s position and region.
“Authorized FIMA users access EDRMS after successful authentication by the FEMA Enterprise Identity Management System (FEIMS) Single Sign-On (SSO) process using their Personal Identity Verification (PIV) cards,” according to FEMA, saying, “EDRMS includes functionality that restricts access to documents and data based on the user’s position and region. All user activity is logged and reviewed by the operating system administrator and the Information System Security Officer (ISSO).”
DHS said, “EDRMS institutes technical security controls, rules of behavior policies, security awareness communications, and other security processes, such as periodic audits and log reviews,” and that “only a relatively small group of authorized users have access to EDRMS, based upon specific, established responsibilities and permissions set within the system. Users include FEMA employees and contractors only. Individuals that engage in unauthorized access to EDRMS are subject to disciplinary action that can result in account termination or suspension. Additionally, FEMA ensures that the practices stated in this PIA are followed by leveraging standard operating procedures, which are updated annually.”
Additionally, the department stated, “EDRMS only allows authorized FEMA personnel access within the FEMA firewall and no public access is possible. EDRMS users gain access to the system through the FEIMS SSO using their PIV card. All EDRMS activity is logged and reviewed on a daily basis. Auditable events are retained for one year when there are no security incidents. If a security incident is reported, the audit logs are retained for three years after the end of the security event investigation. EDRMS security mechanisms (i.e., technical, operational, and managerial) are assessed based on DHS 4300A and National Institutes of Standards and Technology SP 800-53A. EDRMS is approved by FEMA and is included in the DHS Technical Reference Model.”
DHS’s 4300A Sensitive Systems Handbook incorporates NIST SP 800-53A.
NIST SP 800-53A states that in regards to Identifier Management and Multiple Forms of Certification, it should be “determine[ed] if the organization requires multiple forms of certification of individual identification such as documentary evidence or a combination of documents and biometrics be presented to the registration authority.”
Regarding Authenticator Management and Biometric Authentication, NIST’s assessment objective is for federal agencies to determine if, for biometric-based authentication, the organization defines biometric quality requirements to be satisfied, and whether the information system employs mechanisms that satisfy organization-defined biometric quality requirements.
access management | biometrics | data protection | identity verification | privacy | U.S. Government
Best practices for managing storage area networks include developing a disaster recovery program and implementing storage virtualization, tiers and clustering options.
Networked storage capacity in the Fortune 1000 will grow a projected 24 percent in 2011, according to a May storage market study conducted by TheInfoPro, a division of The 451 Group. It’s easy to see why: Increased virtualization, larger data sets and more complex applications all mean that managing storage is still high on IT's to-do list.
Storage area networks (SANs) are established technologies, and many IT managers have learned lessons from the school of hard knocks. Some of them are on third- or fourth-generation equipment after more than a decade of use.
Let’s examine the best practices for managing your SANs, how to buy the right equipment for your needs, and how to implement the best disaster recovery, storage virtualization, storage tiers and clustering options.
• Find and stick with a good storage management solution. These are products that can help assign storage to particular servers, set up redundant drives or clustering, handle continuous data protection and other advanced functions. These solutions are worth the initial cost and trouble to implement because they can save time down the road when you need to make changes to your storage infrastructure.
Bryan Peterson, associate director of technical services for Utah Education Network in Salt Lake City, runs a statewide network that connects all public K-12 and higher education campuses. The network provides central IT services for various education courseware applications and back-office purposes.
The organization purchased DataCore Software’s SAN Symphony for managing its virtualized storage network. “This allows us to be array-agnostic, since they manage everything with DataCore,” Peterson explains. “We would like to stick with one array vendor, but they are price-sensitive since they are a state agency. This makes it a lot easier. Plus, they can attach all different kinds of storage to their network and manage it centrally.”
Strand Associates, a consulting engineering firm headquartered in Madison, Wis., switched to Dell Compellent storage arrays because of their built-in management tools and ease of use. “We like the fact that Compellent comes with thin provisioning and tools that can automatically manage where the data resides on their disks via automatic tiering and systemwide striping,” says Justin Bell, a network engineer. “You can be really hands-off with the process, and it takes just two or three clicks to expand a drive. This is light years from where they were before.”
Storage virtualization is an emerging technology that creates logical abstractions of physical storage systems. Storage virtualization has tremendous potential for simplifying storage administration and reducing costs for managing diverse storage assets. Find out all about this new technology in this sample chapter.This chapter is from the book
The data storage industry is one of the most dynamic sectors in information technology today. Due largely to the introduction of high-performance networking between servers and storage assets, storage technology has undergone a rapid transformation as one innovation after another has pushed storage solutions forward. At the same time, the viability of new storage technologies is repeatedly affirmed by the rapid adoption of networked storage by virtually every large enterprise and institution. Businesses, governments, and institutions today depend on information, and information in its unrefined form as data ultimately resides somewhere on storage media. Applying new technologies to safeguard this essential data, facilitate its access, and simplify its management has readily understandable value.
Since the early 1990s, storage innovation has produced a steady stream of new technology solutions, including Fibre Channel, network-attached storage (NAS), server clustering, serverless backup, high-availability dual-pathing, point-in-time data copy (snapshots), shared tape access, storage over distance, iSCSI, CIM (common information model)-based management of storage assets and transports, and storage virtualization. Each of these successive waves of technical advance has been accompanied by disruption to previous practices, vendor contention, over-hyping of what the new solution could actually do, and confusion among customers. Ultimately, however, each step in technical development eventually settles on some useful application, and all the marketing dust finally settles back into place.
No storage networking innovation has caused more confusion in today's market, however, than storage virtualization. In brief, storage virtualization is the logical abstraction of physical storage systems and thus, when well implemented, hides the complexity of physical storage devices and their specific requirements from management view. Storage virtualization has tremendous potential for simplifying storage administration and reducing costs for managing diverse storage assets.
Unlike previous new protocols or architectures, however, storage virtualization has no standard measure defined by a reputable organization such as INCITS (InterNational Committee for Information Technology Standards) or the IETF (Internet Engineering Task Force). The closest vendor-neutral attempt to make storage virtualization concepts comprehensible has been the work of the Storage Networking Industry Association (SNIA), which has produced useful tutorial content on the various flavors of virtualization technology. Still, storage virtualization continues to play the role of elephant to the long lines of vendors and customers who, having been blinded by exaggerated marketing claims, attempt to lay hands on it in total darkness. Everyone walks away with a different impression. It is often difficult, therefore, to say exactly what the technology is or should be expected to do.
As might be expected, some of the confusion over storage virtualization is vendor-induced. Storage virtualization products vary considerably, as do their implementation methods. Vendors of storage arrays may host virtualization directly on the storage controller, while software vendors may port virtualization applications to servers or SAN appliances. Fabric switch manufacturers may implement virtualization services within the fabric in the form of smart switch technology. Some vendors implement storage virtualization commands and data along the same path between server and storage, while others split the control path and data path apart. Advocates of one or the other virtualization method typically have sound reasons why their individual approach is best, while their competitors are ever willing to explain in even greater detail why it is not. The diversity of storage virtualization approaches alone forces customers into a much longer decision and acquisition cycle as they attempt to sort out the benefits and demerits of the various offerings and try to separate marketing hype from useful fact.
In addition, it is difficult to read data sheets or marketing collateral on virtualization products without encountering extended discussions about point-in-time data copying via snapshots, data replication, mirroring, remote extension over IP, and other utilities. Although storage virtualization facilitates these services, none are fundamentally dependent on storage virtualization technologies. The admixture of core storage virtualization concepts such as storage pooling with ancillary concepts such as snapshots contributes to the confusion over what the technology really does.
Although storage virtualization technology has spawned new companies and products, virtualizing storage is not new. Even in open systems environments, atomic forms of virtual storage have been around for years. In 1987, for example, researchers Patterson, Gibson, and Katz at the University of California Berkeley published a document entitled "A Case for Redundant Arrays of Inexpensive Disks (RAID)," which described means to combine multiple disks and virtualize them to the operating system as a single large disk. Although RAID technology was intended to enhance storage performance and provide data recoverability against disk failure, it also streamlined storage management by reducing disk administration from many physical objects to a single virtual one. Today, storage virtualization technologies leverage lower-level virtualizing techniques such as RAID, but primarily focus on virtualizing higher-level storage systems and storage processes instead of discrete disk components.
The economic drivers for storage virtualization are very straightforward: reduce costs without sacrificing data integrity or performance. Computer systems in general are highly complex, too complex, in fact, to be administered at a discrete physical level. As computer technology has evolved, a higher proportion of CPU cycle time has been dedicated to abstracting the underlying hardware, memory management, input/output, and processor requirements from the user interface. Today, a computer user does not have to be conversant in assembly language programming to make a change in a spreadsheet. The interface and management of the underlying technology has been heavily virtualized.
Storage administration, by contrast, is still tedious, manual-intensive, and seemingly never-ending. The introduction of storage networking has centralized storage administrative tasks by consolidating dispersed direct-attached storage assets into larger, shared resources on a SAN. Fewer administrators can now manage more disk capacity and support more servers, but capacity for each server must still be monitored, logical units manually created and assigned, zones established and exported, and new storage assets manually brought online to service new application requirements. In addition, although shared storage represents a major technological advance over direct-attached storage, it has introduced its own complexity in terms of implementation and support. Complexity equates to cost. Finding ways to hide complexity, automate tedious tasks, streamline administration, and still satisfy the requirements of high performance and data availability saves money, and that is always the bottom line. That is the promise of storage virtualization, although many solutions today are still far short of this goal.
Another highly advertised objective for storage virtualization is to overcome vendor interoperability issues. Storage array manufacturers comply with the appropriate SCSI and Fibre Channel standards for basic connectivity to their products. Each, however, also implements proprietary value-added utilities and features to differentiate their offerings to the market and these, in turn, pose interoperability problems for customers with heterogeneous storage environments. Disk-to-disk data replication solutions, for example, are vendor-specific: EMC's version only works with EMC; IBM's only with IBM. By virtualizing vendor-specific storage into its vanilla flavor, storage virtualization products can be used to provide data replication across vendor lines. In addition, it becomes possible to replicate data from higher-end storage arrays with much cheaper disk assets such as JBODs (just a bunch of disks), thus addressing both interoperability and economic issues.
The concept of a system level storage virtualization strategy occurs repeatedly in vendor collateral. One of the early articles was Compaq's Enterprise Network Storage Architecture and its description of a storage utility. According to the ENSA document, this technology would transform storage ". . . into a utility service that is accessed reliably and transparently by users, and is professionally managed with tools and technology behind the scenes. This is achieved by incorporating physical disks into a large consolidated pool, and then virtualizing application disks from the pool."
The operative words here are reliably and transparently. Technical remedies, like doctors, must first do no harm. Reliability implies that storage data is highly accessible, protected, and at expected performance of delivery. Transparency implies that the complexity of storage systems has been successfully masked from view and that tedious administrative tasks have been automated on the back end. The abstraction layer of storage virtualization therefore bears the heavy burden of preserving the performance and data integrity requirements of physical storage while reducing the intricate associations between physical systems to a simple utility outlet into which applications can be plugged. Part of the challenge is to get the abstraction apparition conjured into place; a greater challenge is to ensure that the mirage does not dissolve when unexpected events or failures occur in the physical world. Utilities, after all, are expected to provide continuous service regardless of demand. You shouldn't have to phone the power company every time you wish to turn on a light.
The notion of utility applied to storage and compute resources conveys not only reliability and transparency, but also ubiquity. The simpler a technology becomes, the more widely it may be deployed. Storage networking is still an esoteric technology and requires expertise to design, implement and support. The substantial research, standards requirement definition, product development, testing, certification, and interoperability required to create operational SANs was in effect funded by large enterprise customers who had the most pressing need and budget to support new and complex storage solutions. Once a storage networking industry was established, however, shared storage expanded beyond the top tier enterprises into mainstream businesses. Leveraging storage virtualization to create a storage utility model will accelerate the market penetration of SANs and, in combination with other technologies such as iSCSI, spread shared storage solutions to small and medium businesses as well.
Currently, all major storage providers have some sort of storage virtualization strategy in place, with varying degrees of implementation in products. Upon acquiring Compaq, Hewlett-Packard (HP) inherited the ENSA (and ENSA-2) storage utility white paper and has supplemented it with its Storage Grid and other initiatives. IBM has TotalStorage with SAN Volume Controller. EMC's Information Lifecycle Management (ILM) extends storage virtualization's reach throughout the creation and eventual demise of data. Hitachi Data Systems supports array-based storage virtualization on its 9000 series systems. Even Sun Microsystems has a component for pooling of storage resources within its N1 system virtualization architecture. These vendor-driven storage virtualization initiatives reflect both proactive and reactive responses to the customers' desire for simplified storage management and are being executed through both in-house development and acquisition of innovative startups.
In addition, multilateral partnerships are being forged between vendors of virtualization software, storage providers, SAN switch manufacturers, and even nonstorage vendors such as Microsoft to bring new storage virtualization solutions to market. Despite the high confusion factor (and often contributing to it), storage virtualization development has considerable momentum and continues to spawn a diversity of product offerings. This is typical of an evolutionary process, with initial variation of attributes, cross-pollination, inheritance of successful features, and ultimately a natural selection for the most viable within specific environments. Because storage virtualization is still evolving, it is premature to say which method will ultimately prevail. It is likely that storage virtualization will continue to adapt to a diversity of customer environments and appear in a number of different forms in the storage ecosystem.
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