Energy efficient distributed computing systems /
"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...
Άλλοι συγγραφείς: | , |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, N.J. :
Wiley,
[2012]
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Σειρά: | Wiley series on parallel and distributed computing.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.