1 Storage Technology Unit-01/Lecture -01
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THE GREEN and VIRTUAL DATA CENTER Chapter 8: Data Storage — Disk, Tape, Optical, and Memory
Chapter Download THE GREEN AND VIRTUAL DATA CENTER Chapter 8: Data Storage — Disk, Tape, Optical, and Memory By Greg Schulz Sponsored By: Chap8.fm Page 205 Thursday, October 23, 2008 5:28 PM Chapter 8 Data Storage—Disk, Tape, Optical, and Memory I can’t remember where I stored that. In this chapter you will learn that: An expanding data footprint results in increased management costs and complexity. Data storage management is a growing concern from a green stand- point. There are many aspects of storage virtualization that can help address green challenges. Demand to store more data for longer periods of time is driving the need for more data storage capacity, which in turn drives energy consump- tion and consequent cooling demands. This chapter looks at various data storage technologies and techniques used to support data growth in an eco- nomical and environmentally friendly manner. These technologies also aid in sustaining business growth while building on infrastructure resource management functions, including data protection, business continuance and disaster recovery (BC/DR), storage allocation, data movement, and migration, along with server, storage, and networking virtualization topics. Although this chapter focuses on external direct attached and networked storage (either networked attached storage or a storage area network), the principles, techniques, and technologies also apply to internal dedicated storage. The importance of this chapter is to understand the need to sup- port and store more data using various techniques and technologies to enable more cost-effective and environmentally as well as energy-friendly data growth. 205 Chap8.fm Page 206 Thursday, October 23, 2008 5:28 PM 206 The Green and Virtual Data Center 8.1 Data Storage Trends, Challenges, and Issues After facilities cooling for all IT equipment and server energy usage, exter- nal data storage has the next largest impact on power, cooling, floor space, and environmental (PCFE) considerations in most environments. -
Cdw Data Management for Nonprofit Organizations
CDW DATA MANAGEMENT FOR NONPROFIT ORGANIZATIONS WHY DATA MANAGEMENT? INDUSTRY Nonprofit organizations need to manage and leverage rapidly expanding TRENDS volumes of data to fundraise more effectively, operate more efficiently and maximize your impact. A data management strategy that encompasses data storage, cloud and business intelligence solutions keeps data Ineffective use of data organized and accessible, improves IT control and visibility, lowers costs creates missed opportunities and optimizes analytics. CHALLENGE: USING CDW DATA DATA TO ADVANCE MANAGEMENT 43% YOUR MISSION SOLUTIONS Overwhelming Volumes of Data Data Storage of nonprofit organizations are using • With more data generated everyday, • Unify data storage management their donor data for potential marketing available storage space is shrinking 1 • Streamline data retention policies and and fundraising opportunities. dramatically design a customized data storage blueprint • Lack of well-defined data retention policies that is flexible, secure and easy to manage Donors expect ROM metrics also contributes to data proliferation • Specific solutions: Inefficient Data Storage • Direct-attached storage (DAS) • Need to unify storage management across • Network-attached storage (NAS) numerous sites, staff, volunteers, donors, • Storage area network (SAN) 70% visitors and members • Unified storage • Haphazard or inefficient data storage and • Software-defined storage (SDS) archiving solutions • Flash storage • Need expert guidance evaluating the costs, • Hierarchical storage management -
Evaluation Criteria for Data De-Dupe
SNIA on STORAGE Evaluation criteria for data de-dupe How does it work? What are length or variable object length de-duplication, local ensure against hash collisions. Although concern over or remote de-duplication, inline or post-processing, and hash collisions is often raised, depending upon the hash de-duplicated or original format data protection. algorithm used and the system design, the probability the different implementation of a hash collision may actually be orders of magnitude Use of hashes less than the probability of an undetected disk read error methods? And what are the key Data de-duplication begins with a comparison of two returning corrupt data. data objects. It would be impractical (and very arduous) to scan an entire data volume for duplicate objects each Indexing evaluation criteria? time a new object was written to that volume. For that Once duplicate objects have been identified (and option- reason, de-duplication systems create relatively small ally validated), removal of the duplicate object can com- By Larry Freeman, Rory Bolt, mence. There are varying methods that systems employ when modifying their data pointer structures. However, and Tom Sas De-duplication pointers all forms of this indexing fall into four broad categories: Catalog-based indexing—A catalog of hash values is Reference pointers for duplicated objects used only to identify candidates for de-duplication. A DATA DE-DUPLICATION IS THE PROCESS separate process modifies the data pointers accordingly. of eliminating redundant copies of data. The advantage of catalog-based de-duplication is that The term “data de-duplication” was coined the catalog is only utilized to identify duplicate objects by database administrators many years ago as a way of and is not accessed during the actual reading or writing describing the process of removing duplicate database of the de-duplicated data objects; that task is handled records after two databases had been merged. -
An Analysis of Storage Virtualization
Rochester Institute of Technology RIT Scholar Works Theses 12-9-2014 An Analysis of Storage Virtualization Nicholas Costa Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Costa, Nicholas, "An Analysis of Storage Virtualization" (2014). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. An Analysis of Storage Virtualization By Nicholas Costa Thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Networking and Systems Administration Rochester Institute of Technology B. Thomas Golisano College of Computing and Information Sciences Department of Information Sciences & Technologies December 9, 2014 Rochester Institute of Technology B. Thomas Golisano College of Computing and Information Sciences Master of Science in Networking and Systems Administration Thesis Approval Form Student Name: Nicholas Costa Thesis Title: An Analysis of Storage Virtualization Thesis Committee Name Signature Date Chair (Bill Stackpole [email protected]) Committee Member (Daryl Johnson [email protected]) Committee Member (Charlie Border [email protected]) Abstract Investigating technologies and writing expansive documentation on their capabilities is like hitting a moving target. Technology is evolving, growing, and expanding what it can do each and every day. This makes it very difficult when trying to snap a line and investigate competing technologies. Storage virtualization is one of those moving targets. Large corporations develop software and hardware solutions that try to one up the competition by releasing firmware and patch updates to include their latest developments. -
Review Article
z Available online at http://www.journalcra.com INTERNATIONAL JOURNAL OF CURRENT RESEARCH International Journal of Current Research Vol. 5, Issue, 11, pp. 3529-3530, November, 2013 ISSN: 0975-833X REVIEW ARTICLE TACKLING DATA PROLIFERATION *Dr. A. Vijayakumar and K. Muraleedharan Karpagam University, Coimbatore ARTICLE INFO ABSTRACT Article History: It is often termed that the present day society as an ‘information society’, where information is being Received 19th September, 2013 generated every now and then. This new addition of information is ultimately leads to the Received in revised form modification of the existing knowledge or the creation of new knowledge which definitely has to pass 29th September, 2013 on to the needy. The ‘knowledge boom’ or the’ information explosion’ has paused a situation, where a Accepted 04th October, 2013 genuine information seeker feels some sort of “poverty” in the midst of plenty, where the information Published online 19th November, 2013 is abundant, and how it could be make best use of it? And here the real problem arises-how far the accumulated information is accurate and apt. Hence a mere collection of information is not enough for Key words: utility, but the ‘raw’ information is to be processed, to yield systematic and integrated information Information Explosion, needed for a specific purpose. The fact that fruit ful education is in process in every sect of schools Raw data, where students are undergoing apt and up-to-date education. The dynamic nature of modern education Storage of data, envisages right and accurate information to the student at the right direction. Data filtration, Information Lifecycle.