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

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Yes, you can access Energy-Efficient Distributed Computing Systems by Albert Y. Zomaya, Young Choon Lee, Albert Y. Zomaya, Young Choon Lee in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley-IEEE Computer Society Pr

Year

2012

ISBN

9781118342008

Edition

Topic

Computer Science

Subtopic

Computer Networking

Index

Computer Science

Cover
Title Page
Copyright
Preface
Acknowledgments
Contributors
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 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 Energy-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 Energy Efficiency in Wireless Sensor Networks
Chapter 26: Energy Management in Heterogeneous Wireless Health Care Networks
Index
Series