Fr. 179.00

Energy Efficient Distributed Computing Systems

English · Hardback

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Informationen zum Autor 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. Klappentext 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 Zusammenfassung 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. Inhaltsverzeichnis PREFACE xxixACKNOWLEDGMENTS xxxiCONTRIBUTORS xxxiii1 POWER ALLOCATION AND TASK SCHEDULING ON MULTIPROCESSOR COMPUTERS WITH ENERGY AND TIME CONSTRAINTS 1Keqin Li1.1 Introduction 11.2 Preliminaries 51.3 Problem Analysis 101.4 Pre-Power-Determination Algorithms 161.5 Post-Power-Determination Algorithms 281.6 Summary and Further Research 33References 342 POWER-AWARE HIGH PERFORMANCE COMPUTING 39Rong Ge and Kirk W. Cameron2.1 Introduction 392.2 Background 412.3 Related Work 452.4 PowerPack: Fine-Grain Energy Profiling of HPC Applications 482.5 Power-Aware Speedup Model 592.6 Model Usages 692.7 Conclusion 73References 753 ENERGY EFFICIENCY IN HPC SYSTEMS 81Ivan Rodero and Manish Parashar3.1 Introduction 813.2 Background and Related Work 833.3 Proactive, Component-Based Power Management 883.4 Quantifying Energy Saving Possibilities 913.5 Evaluation of the Proposed Strategies 953.6 Results 973.7 Concluding Remarks 1023.8 Summary 103References 1044 A STOCHASTIC FRAMEWORK FOR HIERARCHICAL SYSTEM-LEVEL POWER MANAGEMENT 109Peng Rong and Massoud Pedram4.1 Introduction 1094.2 Related Work 1114.3 A Hierarchical DPM Architecture 1134.4 Modeling 1144.5 Policy Optimization 1224.6 Experimental Results 1254.7 Conclusion 130References 1305 ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR GRIDS, CLOUDS, AND NETWORKS 133Anne-Ce´ cile Orgerie and Laurent Lefe` vre5.1 Introduction 1335.2 Related Works 1345.3 ERIDIS: Energy-Efficient Reservation Infrastructure for Large-Scale Distributed Systems 1385.4 EARI: Energy-Aware Reservation Infrastructure for Data Centers and Grids 1475.5 GOC: Green Open Cloud 1495.6 HERMES: High Level Energy-Aware Model for Bandwidth Reservation in End-To-End Networks 1525.7 Summary 158References 1586 ENERGY-EFFICIENT JOB PLACEMENT ON CLUSTERS, GRIDS, AND CLOUDS 163Damien Borgetto, Henri Casanova, Georges Da Costa, and Jean-Marc Pierson6.1 Problem and Motivation 1636.2 Energy-Aware Infrastructures 1646.3 Current Resource Management Practices 1676.4 Scientific and Technical Challenges 1706.5 Energy-Aware Job Placement Algorithms 1...

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