http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Energy efficient distributed computing systems
1 online resource (813 pages) : illustrations.
"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"--
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.
edited by Albert Y. Zomaya, Young Choon Lee.
Includes bibliographical references and index.
Wiley series on parallel and distributed computing