Saturday, September 21, 2019

Energy-Efficient Distributed Computing Systems (Free PDF)


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Description
The scope of energy-efficient computing is not limited to main computing components (e.g., processors, storage devices, and visualization facilities), but it can expand to a much larger range of resources associated with computing facilities, including auxiliary equipment, water used for cooling, and even physical and floor space that these resources occupy. Energy consumption in computing facilities raises various monetary, environmental, and system performance concerns.

Recent advances in hardware technologies have improved the energy consumption issue to a certain degree. However, it still remains a serious concern for energy-efficient computing because the amount of energy consumed by computing and auxiliary hardware resources is affected substantially by their usage patterns. In other words, resource underutilization or overloading incurs a higher volume of energy consumption when compared with efficiently utilized resources. This calls for the development of various software energy-saving techniques and new algorithms that are more energy efficient.

This book, Energy-Efficient Distributed Computing Systems, seeks to provide an opportunity for researchers to explore different energy consumption issues and their impact on the design of new computing systems. The book is quite timely since the field of distributed computing as a whole is undergoing many changes. Vast literature exists today on such energy consumption paradigms and frameworks and their implications for a wide range of distributed platforms.


Content:-
PREFACE
ACKNOWLEDGMENTS
CONTRIBUTORS
1. POWER ALLOCATION AND TASK SCHEDULING ON MULTIPROCESSOR COMPUTERS WITH ENERGY AND TIME CONSTRAINTS
2. POWER-AWARE HIGH PERFORMANCE COMPUTING
3. ENERGY EFFICIENCY IN HPC SYSTEMS
4. A STOCHASTIC FRAMEWORK FOR HIERARCHICAL SYSTEM-LEVEL POWER MANAGEMENT
5. ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR GRIDS, CLOUDS, AND NETWORKS
6. ENERGY-EFFICIENT JOB PLACEMENT ON CLUSTERS, GRIDS, AND CLOUDS
7. COMPARISON AND ANALYSIS OF GREEDY ENERGY-EFFICIENT SCHEDULING ALGORITHMS FOR COMPUTATIONAL GRIDS
8. TOWARD ENERGY-AWARE SCHEDULING USING MACHINE LEARNING
9. ENERGY EFFICIENCY METRICS FOR DATA CENTERS
10. AUTONOMIC GREEN COMPUTING IN LARGE-SCALE DATA CENTERS
11. ENERGY AND THERMAL AWARE SCHEDULING IN DATA CENTERS
12. QOS-AWARE POWER MANAGEMENT IN DATA CENTERS
13. ENERGY-EFFICIENT STORAGE SYSTEMS FOR DATA CENTERS
14. AUTONOMIC ENERGY/PERFORMANCE OPTIMIZATIONS FOR MEMORY IN SERVERS
15. ROD: A PRACTICAL APPROACH TO IMPROVING RELIABILITY OF ENERGY-EFFICIENT PARALLEL DISK SYSTEMS
16. EMBRACING THE MEMORY AND I/O WALLS FOR ENERGY-EFFICIENT SCIENTIFIC COMPUTING
17. MULTIPLE FREQUENCY SELECTION IN DVFS-ENABLED PROCESSORS TO MINIMIZE ENERGY CONSUMPTION
18. THE PARAMOUNTCY OF RECONFIGURABLE COMPUTING
19. WORKLOAD CLUSTERING FOR INCREASING ENERGY SAVINGS ON EMBEDDED MPSOCS
20. ENERGY-EFFICIENT INTERNET INFRASTRUCTURE
21. DEMAND RESPONSE IN THE SMART GRID: A DISTRIBUTED COMPUTING PERSPECTIVE
22. RESOURCE MANAGEMENT FOR DISTRIBUTED MOBILE COMPUTING
23. AN ENERGY-AWARE FRAMEWORK FOR MOBILE DATA MINING
24 ENERGY AWARENESS AND EFFICIENCY IN WIRELESS SENSOR NETWORKS: FROM PHYSICAL DEVICES TO THE COMMUNICATION LINK
25. NETWORK-WIDE STRATEGIES FOR ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORKS
26. ENERGY MANAGEMENT IN HETEROGENEOUS WIRELESS HEALTH CARE NETWORKS
INDEX

Author Details
"Albert Y. Zomaya"

"Young Choon Lee"





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