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200321s2020 nyu o 000 0 eng d |
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|a 1147829506
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|a 1536168696
|q (electronic book)
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|a 9781536168693
|q (electronic bk.)
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|z 9781536168686
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|a (OCoLC)1134073317
|z (OCoLC)1147829506
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|a EBLCP
|b eng
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|c EBLCP
|d OCLCQ
|d YDXIT
|d UKAHL
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|a n-us---
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|a MAIN
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|a TJ163.5.D38
|b D38 2020
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|a 004.028
|2 23
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|a Data center optimization :
|b progress, challenges and goals /
|c Felix Strauss, editor
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|a New York :
|b Snova,
|c [2020]
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Computer science, technology and applications
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|a Data Center Optimization: Continued Agency Actions Needed to Meet Goals and Address Prior Recommendations*
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|a Intro -- Contents -- Preface -- Chapter 1 -- Data Center Optimization: Agencies Need to Address Challenges and Improve Progress to Achieve Cost Savings Goal( -- Why GAO Did This Study -- What GAO Recommends -- What GAO Found -- Abbreviations -- Background -- OMB and the Federal CIO Established FDCCI -- IT Acquisition Reform Law Enhanced Data Center Consolidation and Optimization Efforts -- OMB Established DCOI -- GAO Has Reported and Testified on Issues Related to Consolidating and Optimizing Data Centers
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|a About Half of the Agencies Reported That Migrating IT Applications and Services to Cloud Computing Solutions Increased Optimization Progress -- Five Agencies Reported Success in Increasing Energy Efficiency to Optimize Their Data Centers -- Agencies Reported Operational, Technical, and Financial Challenges in Optimizing Their Data Centers -- Operational Challenges -- Technical Challenges -- Financial Challenges -- Most Agencies Still Cannot Effectively Measure Server Utilization -- Conclusion -- Matter for Congressional Consideration -- Recommendations for Executive Action
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|a Agencies Are Reporting Limited Progress against OMB's Data Center Optimization Targets -- Most Agencies Are Not Planning to Meet OMB's Fiscal Year 2018 Optimization Targets -- Agencies Reported Successes and Challenges in Optimizing Data Centers -- Agencies Identified the Use of Optimization Technologies and Improved Energy Efficiency as the Most Reported Successes -- Approximately Two-Thirds of Agencies Reported That Implementing Virtualization Technologies Improved Their Data Center Optimization Efforts
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|a Agency Comments and Our Evaluation -- List of Committees -- Appendix I: Objectives, Scope, and Methodology -- Appendix II: Comments from the Department of Commerce -- Appendix III: Comments from the Department of Defense -- Appendix IV: Comments from the Department of Energy -- Appendix V: Comments from the Department of Health and Human Services -- Appendix VI: Comments from the Department of Homeland Security -- Appendix VII: Comments from the Department of the Interior -- Appendix VIII: Comments from the Department of Labor -- Appendix IX: Comments from the Department of State
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|a Appendix X: Comments from the Department of Veterans Affairs -- Appendix XI: Comments from the Environmental Protection Agency -- Appendix XII: Comments from the General Services Administration -- Appendix XIII: Comments from the Nuclear Regulatory Commission -- Appendix XIV: Comments from the Office of Personnel Management -- Appendix XV: Comments from the Department of Housing and Urban Development -- Appendix XVI: Comments from the Social Security Administration -- Appendix XVII: GAO Contact and Staff Acknowledgments -- GAO Contact -- Staff Acknowledgments -- Chapter 2
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|a Online resource; title from digital title page (viewed on July 01, 2020)
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|a 22
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|a Administrative agencies
|x Data processing
|x Standards
|z United States
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|a Data centers
|x Management
|x Law and legislation
|z United States
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|a Data centers
|z United States
|x Management
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|a Centres de traitement de l'information
|z États-Unis
|x Gestion
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|a Administrative agencies
|x Data processing
|x Standards
|2 fast
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|a United States
|2 fast
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|a Strauss, Felix,
|e editor
|? UNAUTHORIZED
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|i Print version:
|a Strauss, Felix
|t Data Center Optimization: Progress, Challenges and Goals.
|d New York : Nova Science Publishers, Incorporated, ©2019
|z 9781536168686
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830 |
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0 |
|a Computer science, technology and applications
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