Includes bibliographical references and index.

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.

"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"-- Provided by publisher.

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