Energy-Efficient Distributed Computing Systems: Zomaya/Energy-Efficient Computing

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 "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 "-- "This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing"-- 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