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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Άλλοι συγγραφείς: Zomaya, Albert Y., Lee, Young-Choon, 1973-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, N.J. : Wiley, [2012]
Σειρά:Wiley series on parallel and distributed computing.
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.