Energy Efficiency in Data Centers and Clouds

Energy Efficiency in Data Centers and Clouds

1st Edition - January 26, 2016

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  • Editors: Ali Hurson, Hamid Azad
  • Hardcover ISBN: 9780128047781
  • eBook ISBN: 9780128051733

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Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applications. The book provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles typically allow. The articles included in this book will become standard references, with lasting value in this rapidly expanding field.

Key Features

  • Presents detailed coverage of recent innovations in computer hardware, software, theory, design, and applications
  • Includes in-depth surveys and tutorials on new computer technology pertaining to computing: combinatorial testing, constraint-based testing, and black-box testing
  • Written by well-known authors and researchers in the field
  • Includes extensive bibliographies with most chapters
  • Presents volumes devoted to single themes or subfields of computer science


Researchers in high performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science.

Table of Contents

  • Chapter One: Power Management in Data Centers: Cost, Sustainability, and Demand Response

    • Abstract
    • 1 Introduction
    • 2 Cost Minimization in Data Centers
    • 3 Sustainability: Water Efficiency
    • 4 Sustainability: Exploiting Temporal Diversity of Water Efficiency (WACE)
    • 5 Sustainability: Optimizing Water Efficiency in Distributed Data Centers (GLB-WS)
    • 6 Demand Response of Geo-Distributed Data Centers: Real-Time Pricing Game Approach
    • 7 Demand Response of Colocation Data Centers: A Reverse Auction Approach
    • 8 Conclusion and Open Challenges
    • Acknowledgments

    Chapter Two: Energy-Efficient Big Data Analytics in Datacenters

    • Abstract
    • 1 Introduction
    • 2 Datacenter and Cloud Computing
    • 3 Handling Big Data on Cloud-Based Datacenters
    • 4 Energy Efficiency in Datacenters for Big Data Analytics
    • 5 Trends for the Big Data Analytics in Cloud-Based Datacenters
    • 6 Summary

    Chapter Three: Energy-Efficient and SLA-Based Resource Management in Cloud Data Centers

    • Abstract
    • 1 Introduction
    • 2 Energetic Characterization of a Data Center
    • 3 Cloud Computing Environments
    • 4 Constraints to Energy Efficiency in Cloud Data Centers
    • 5 Current Resource Management in Cloud Data Centers
    • 6 A Practical Case of Energy-Efficient and SLA-Based Management of Resources
    • 7 Conclusions and Open Challenges

    Chapter Four: Achieving Energy Efficiency in Datacenters by Virtual Machine Sizing, Replication, and Placement

    • Abstract
    • 1 Introduction
    • 2 Related Work in Datacenter Power and Resource Management
    • 3 System Model
    • 4 Problem Formulation
    • 5 Proposed Algorithm
    • 6 Simulation Results
    • 7 Conclusion and Future Research Direction

    Chapter Five: Communication-Awareness for Energy-Efficiency in Datacenters

    • Abstract
    • 1 Introduction
    • 2 Power Consuming Components in Networks
    • 3 Energy Reduction Techniques
    • 4 Our Approach
    • 5 Problem Formulation and Algorithms
    • 6 Experimental Results
    • 7 Conclusion and Future Work
    • Acknowledgments

Product details

  • No. of pages: 296
  • Language: English
  • Copyright: © Academic Press 2016
  • Published: January 26, 2016
  • Imprint: Academic Press
  • Hardcover ISBN: 9780128047781
  • eBook ISBN: 9780128051733

About the Serial Volume Editors

Ali Hurson

Ali Hurson
A. R. Hurson is currently a professor and Chair of Computer Science department at Missouri S&T. Before joining Missouri S&T, he was a professor of Computer Science and Engineering department at The Pennsylvania State University. His research for the past 30 years has been directed toward the design and analysis of general as well as special purpose computer architectures. His research has been supported by NSF, DARPA, the Department of Education, the Air Force, the Office of Naval Research, Oak Ridge National Laboratory, NCR Corp., General Electric, IBM, Lockheed Martin, Pennsylvania State University, and Missouri S & T. He has published over 300 technical papers in areas including multidatabases, global information sharing and processing, application of mobile agent technology, object oriented databases, mobile and pervasive computing environment, sensor and ad-hoc networks, computer architecture and cache memory, parallel and distributed processing, dataflow architectures, and VLSI algorithms. Dr. Hurson served as the Guest Co-Editor of special issues of the IEEE Proceedings on Supercomputing Technology, the Journal of Parallel and Distributed Computing on Load Balancing and Scheduling, the journal of integrated computer-aided engineering on multidatabase and interoperable systems, IEEE Transactions on Computers on Parallel Architectures and Compilation Techniques, Journal of Multimedia Tools and Applications, and Journal of Pervasive and Mobile Computing. He is the co-author of the IEEE Tutorials on Parallel Architectures for Database Systems, Multidatabase systems: An advanced solution for global information sharing, Parallel architectures for data/knowledge base systems, and Scheduling and Load Balancing in Parallel and Distributed Systems. He is also the guest Editor of advances in computers for Parallel, Distributed, and Pervasive Computing. Hurson is the Co-founder of the IEEE Symposium on Parallel and Distributed Processing (currently IPDPS) and IEEE conference on Pervasive Computing and Communications. Professor Hurson has been active in various IEEE/ACM Conferences and has given tutorials and invited lectures for various conferences and organizations on global information sharing, database management systems, supercomputer technology, data/knowledge-based systems, dataflow processing, scheduling and load balancing, parallel computing, and Pervasive computing. He served as a member of the IEEE Computer Society Press Editorial Board, an IEEE Distinguished speaker, editor of IEEE transactions on computers, editor of Journal of Pervasive and Mobile Computing, and IEEE/ACM Computer Sciences Accreditation Board. Currently, he is serving as an ACM distinguished speaker, area editor CSI Journal of Computer Science and Engineering, and Co-Editor-in-Chief Advances in Computers.

Affiliations and Expertise

Professor and Chair of Computer Science Department, Missouri University of Science and Technology, Rolla, MO, USA

Hamid Azad

Hamid Sarbazi-Azad is currently a professor of computer science and engineering at Sharif University of Technology, and a research professor of computer science at the Institute for Research in Fundamental Sciences, both in Tehran, Iran . His research interests include high-performance computer/memory architectures, NoCs and SoCs, learning architectures,, social networks, and storage systems, on which he has published over 400 refereed papers. He received Khwarizmi International Award in 2006, TWAS Young Scientist Award in engineering sciences in 2007, and Sharif University Distinguished Researcher awards in years 2004, 2007, 2008, 2010 and 2013. He is now an associate editor of ACM Computing Surveys, IEEE Computer Architecture Letters, and Elsevier’s Computers and Electrical Engineering.

Affiliations and Expertise

Sharif University of Technology, Tehran, Iran

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