Energy-Efficient Distributed Computing Systems
- 16h 10m
- Albert Y. Zomaya, Young Choon Lee
- John Wiley & Sons (US)
- 2012
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
About the Authors
ALBERT Y. ZOMAYA is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, The University of Sydney. He is a Fellow of the IEEE, the American Association for the Advancement of Science, and the Institution of Engineering and Technology, and a Distinguished Engineer of the ACM. He has authored seven books and some 400 articles in technical journals.
YOUNG CHOON LEE, PhD, is with the Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney.
In this Book
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Power Allocation and Task Scheduling on Multiprocessor Computers with Energy and Time Constraints
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Power-Aware High Performance Computing
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Energy Efficiency in HPC Systems
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A Stochastic Framework for Hierarchical System-Level Power Management
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Energy-Efficient Reservation Infrastructure for Grids, Clouds, and Networks
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Energy-Efficient Job Placement on Clusters, Grids, and Clouds
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Comparison and Analysis of Greedy Energy-Efficient Scheduling Algorithms for Computational Grids
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Toward Energy-Aware Scheduling Using Machine Learning
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Energy Efficiency Metrics for Data Centers
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Autonomic Green Computing in Large-Scale Data Centers
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Energy and Thermal Aware Scheduling in Data Centers
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QoS-Aware Power Management in Data Centers
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Energy-Efficient Storage Systems for Data Centers
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Autonomic Energy/Performance Optimizations for Memory in Servers
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Rod—A Practical Approach to Improving Reliability of Energy-Efficient Parallel Disk Systems
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Embracing the Memory and I/O Walls for Energy-Efficient Scientific Computing
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Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption
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The Paramountcy of Reconfigurable Computing
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Workload Clustering for Increasing Energy Savings on Embedded MPSoCs
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Energy-Efficient Internet Infrastructure
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Demand Response in the Smart Grid—A Distributed Computing Perspective
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Resource Management for Distributed Mobile Computing
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An Energy-Aware Framework for Mobile Data Mining
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Energy Awareness and Efficiency in Wireless Sensor Networks—From Physical Devices to the Communication Link
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Network-Wide Strategies for Energy Efficiency in Wireless Sensor Networks
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Energy Management in Heterogeneous Wireless Health Care Networks
