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  <titleInfo>
    <title>Energy efficient distributed computing systems</title>
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  <name type="personal">
    <namePart>Zomaya, Albert Y.</namePart>
  </name>
  <name type="personal">
    <namePart>Lee, Young-Choon</namePart>
    <namePart type="date">1973-</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="">Llibres electrònics.</genre>
  <genre authority="local">Electronic books.</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
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    <publisher>Wiley</publisher>
    <dateIssued>©2012</dateIssued>
    <dateIssued encoding="marc">2012</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>1 online resource (813 pages) : illustrations.</extent>
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  <abstract>"The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing. Key features: One of the first books of its kind Features latest research findings on emerging topics by well-known scientists Valuable research for grad students, postdocs, and researchers Research will greatly feed into other technologies and application domains"--</abstract>
  <tableOfContents>Chapter 1. Power Allocation and Task Scheduling on Multiprocessor Computers with Energy and Time Constraints -- Chapter 2. Power-Aware High Performance Computing -- Chapter 3. Energy Efficiency in HPC Systems -- Chapter 4. A Stochastic Framework for Hierarchical System-Level Power Management -- Chapter 5. Energy-Efficient Reservation Infrastructure for Grids, Clouds, and Networks -- Chapter 6. Energy-Efficient Job Placement on Clusters, Grids, and Clouds -- Chapter 7. Comparison and Analysis of Greedy Energy-Efficient Scheduling Algorithms for Computational Grids -- Chapter 8. Toward Energy-Aware Scheduling Using Machine Learning -- Chapter 9. Energy Efficiency Metrics for DATA Centers -- Chapter 10. Autonomic Green Computing in Large-Scale Data Centers -- Chapter 11. Energy and Thermal Aware Scheduling in Data Centers -- Chapter 12. QOS-Aware Power Management in Data Centers -- Chapter 13. Energy-Efficient Storage Systems for Data Centers -- Chapter 14. Autonomic Energy/Performance Optimizations for Memory in Servers -- Chapter 15. ROD: A Practical Approach to Improving Reliability of Enegery-Efficient Parallel Disk Systems -- Chapter 16. Embracing the Memory and I/O Walls for Energy-Efficient Scientific Computing -- Chapter 17. Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption -- Chapter 18. The Paramountcy of Reconfigurable Computing -- Chapter 19. Workload Clustering for Increasing Energy Savings on Embedded MPSOCS -- Chapter 20. Energy-Efficient Internet Infrastructure -- Chapter 21. Demand Response in the Smart Grid: A Distributed Computing Perspective -- Chapter 22. Resource Management for Distributed Mobile Computing -- Chapter 23. An Energy-Aware Framework for Mobile Data Mining -- Chapter 24. Energy Awareness and Efficiency in Wireless Sensor Networks: From Physical Devices to the Communication Link -- Chapter 25. Network-Wide Strategies for Enrgy Efficiency in Wireless Sensor Networks -- Chapter 26. Energy Management in Heterogeneous Wireless Health Care Networks.</tableOfContents>
  <note type="statement of responsibility">edited by Albert Y. Zomaya, Young Choon Lee.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Computer networks</topic>
    <topic>Energy conservation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic data processing</topic>
    <topic>Distributed processing</topic>
    <topic>Energy conservation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Green technology</topic>
  </subject>
  <subject>
    <topic>Computer networks</topic>
    <topic>Energy efficiency</topic>
  </subject>
  <subject>
    <topic>Computer networks</topic>
    <topic>Energy conservation</topic>
  </subject>
  <subject>
    <topic>Computer science</topic>
  </subject>
  <subject>
    <topic>COMPUTERS</topic>
    <topic>Networking</topic>
    <topic>General</topic>
  </subject>
  <subject>
    <topic>Electronic data processing</topic>
    <topic>Distributed processing</topic>
    <topic>Energy conservation</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS</topic>
    <topic>Client-Server Computing</topic>
  </subject>
  <subject authority="lemac">
    <topic>Ordinadors, Xarxes d'</topic>
    <topic>Estalvi d'energia</topic>
  </subject>
  <subject authority="lemac">
    <topic>Informàtica</topic>
    <topic>Estalvi d'energia</topic>
  </subject>
  <subject authority="lemac">
    <topic>Ecotecnologia</topic>
  </subject>
  <subject authority="lemac">
    <topic>Energia</topic>
    <topic>Estalvi</topic>
  </subject>
  <classification authority="lcc">TK5105.5 .Z66 2012eb</classification>
  <classification authority="ddc">004.36</classification>
  <classification authority="bisacsh">COM043000</classification>
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    <titleInfo>
      <title>Energy efficient distributed computing systems</title>
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    <name>
      <namePart>Zomaya, Albert Y.</namePart>
    </name>
    <originInfo>
      <publisher>Hoboken, N.J. : Wiley, ©2012</publisher>
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    <identifier type="local">(DLC)  2011042246</identifier>
    <identifier type="local">(OCoLC)744299290</identifier>
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    <titleInfo>
      <title>Wiley series on parallel and distributed computing</title>
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