Energy-Efficient Distributed Computing Systems

• Publisher: Wiley-IEEE Computer Society Press
• Year: 2012
• Tongue: English
• Leaves: 830
• Category: Library

✦ Synopsis

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

Content:
Chapter 1 Power Allocation and Task Scheduling on Multiprocessor Computers with Energy and Time Constraints (pages 1–37): Keqin Li
Chapter 2 Power?Aware High Performance Computing (pages 39–79): Rong Ge and Kirk W. Cameron
Chapter 3 Energy Efficiency in HPC Systems (pages 81–108): Ivan Rodero and Manish Parashar
Chapter 4 A Stochastic Framework for Hierarchical System?Level Power Management (pages 109–131): Peng Rong and Massoud Pedram
Chapter 5 Energy?Efficient Reservation Infrastructure for Grids, Clouds, and Networks (pages 133–161): Anne?Cecile Orgerie and Laurent Lefevre
Chapter 6 Energy?Efficient Job Placement on Clusters, Grids, and Clouds (pages 163–187): Damien Borgetto, Henri Casanova, Georges Da Costa and Jean?Marc Pierson
Chapter 7 Comparison and Analysis of Greedy Energy?Efficient Scheduling Algorithms for Computational Grids (pages 189–214): Peder Lindberg, James Leingang, Daniel Lysaker, Kashif Bilal, Samee Ullah Khan, Pascal Bouvry, Nasir Ghani, Nasro Min?Allah and Juan Li
Chapter 8 Toward Energy?Aware Scheduling Using Machine Learning (pages 215–244): Josep Ll. Berral, Inigo Goiri, Ramon Nou, Ferran Julia, Josep O. Fito, Jordi Guitart, Ricard Gavalda and Jordi Torres
Chapter 9 Energy Efficiency Metrics for Data Centers (pages 245–269): Javid Taheri and Albert Y. Zomaya
Chapter 10 Autonomic Green Computing in Large?Scale Data Centers (pages 271–299): Haoting Luo, Bithika Khargharia, Salim Hariri and Youssif Al?Nashif
Chapter 11 Energy and Thermal Aware Scheduling in Data Centers (pages 301–337): Gaurav Dhiman, Raid Ayoub and Tajana S. Rosing
Chapter 12 QOS?Aware Power Management in Data Centers (pages 339–360): Jiayu Gong and Cheng?Zhong Xu
Chapter 13 Energy?Efficient Storage Systems for Data Centers (pages 361–376): Sudhanva Gurumurthi and Anand Sivasubramaniam
Chapter 14 Autonomic Energy/Performance Optimizations for Memory in Servers (pages 377–394): Bithika Khargharia and Mazin Yousif
Chapter 15 ROD: A Practical Approach to Improving Reliability of Energy?Efficient Parallel Disk Systems (pages 395–415): Shu Yin, Xiaojun Ruan, Adam Manzanares and Xiao Qin
Chapter 16 Embracing the Memory and I/O Walls for Energy?Efficient Scientific Computing (pages 417–441): Chung?Hsing Hsu and Wu?Chun Feng
Chapter 17 Multiple Frequency Selection in DVFS?Enabled Processors to Minimize Energy Consumption (pages 443–463): Nikzad Babaii Rizvandi, Albert Y. Zomaya, Young Choon Lee, Ali Javadzadeh Boloori and Javid Taheri
Chapter 18 The Paramountcy of Reconfigurable Computing (pages 465–547): Reiner Hartenstein
Chapter 19 Workload Clustering for Increasing Energy Savings on Embedded MPSOCS (pages 549–565): Ozcan Ozturk, Mahmut Kandemir and Sri Hari Krishna Narayanan
Chapter 20 Energy?Efficient Internet Infrastructure (pages 567–592): Weirong Jiang and Viktor K. Prasanna
Chapter 21 Demand Response in the Smart Grid: A Distributed Computing Perspective (pages 593–613): Chen Wang and Martin De Groot
Chapter 22 Resource Management for Distributed Mobile Computing (pages 615–651): Jong?Kook Kim
Chapter 23 An Energy?Aware Framework for Mobile Data Mining (pages 653–671): Carmela Comito, Domenico Talia and Paolo Trunfio
Chapter 24 Energy Awareness and Efficiency in Wireless Sensor Networks: From Physical Devices to the Communication Link (pages 673–707): Flavia C. Delicato and Paulo F. Pires
Chapter 25 Network?Wide Strategies for Energy Efficiency in Wireless Sensor Networks (pages 709–750): Flavia C. Delicato and Paulo F. Pires
Chapter 26 Energy Management in Heterogeneous Wireless Health Care Networks (pages 751–785): Nima Nikzad, Priti Aghera, Piero Zappi and Tajana S. Rosing