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Produktbild: Energy-Efficient Distributed Computing Systems

Energy-Efficient Distributed Computing Systems

Aus der Reihe Wiley Series on Parallel and Distributed Computing

Fr. 203.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.08.2012

Herausgeber

Albert Y. Zomaya + weitere

Verlag

John Wiley & Sons Inc

Seitenzahl

856

Maße (L/B/H)

23.6/16.3/5.1 cm

Gewicht

1279 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-470-90875-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.08.2012

Herausgeber

Verlag

John Wiley & Sons Inc

Seitenzahl

856

Maße (L/B/H)

23.6/16.3/5.1 cm

Gewicht

1279 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-470-90875-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Energy-Efficient Distributed Computing Systems
  • PREFACE xxix
     
    ACKNOWLEDGMENTS xxxi
     
    CONTRIBUTORS xxxiii
     
    1 POWER ALLOCATION AND TASK SCHEDULING ON MULTIPROCESSOR COMPUTERS WITH ENERGY AND TIME CONSTRAINTS 1
    Keqin Li
     
    1.1 Introduction 1
     
    1.2 Preliminaries 5
     
    1.3 Problem Analysis 10
     
    1.4 Pre-Power-Determination Algorithms 16
     
    1.5 Post-Power-Determination Algorithms 28
     
    1.6 Summary and Further Research 33
     
    References 34
     
    2 POWER-AWARE HIGH PERFORMANCE COMPUTING 39
    Rong Ge and Kirk W. Cameron
     
    2.1 Introduction 39
     
    2.2 Background 41
     
    2.3 Related Work 45

    2.4 PowerPack: Fine-Grain Energy Profiling of HPC Applications 48
     
    2.5 Power-Aware Speedup Model 59
     
    2.6 Model Usages 69
     
    2.7 Conclusion 73
     
    References 75
     
    3 ENERGY EFFICIENCY IN HPC SYSTEMS 81
    Ivan Rodero and Manish Parashar
     
    3.1 Introduction 81
     
    3.2 Background and Related Work 83
     
    3.3 Proactive, Component-Based Power Management 88
     
    3.4 Quantifying Energy Saving Possibilities 91
     
    3.5 Evaluation of the Proposed Strategies 95
     
    3.6 Results 97
     
    3.7 Concluding Remarks 102
     
    3.8 Summary 103
     
    References 104
     
    4 A STOCHASTIC FRAMEWORK FOR HIERARCHICAL SYSTEM-LEVEL POWER MANAGEMENT 109
    Peng Rong and Massoud Pedram
     
    4.1 Introduction 109
     
    4.2 Related Work 111
     
    4.3 A Hierarchical DPM Architecture 113
     
    4.4 Modeling 114
     
    4.5 Policy Optimization 122
     
    4.6 Experimental Results 125
     
    4.7 Conclusion 130
     
    References 130
     
    5 ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR GRIDS, CLOUDS, AND NETWORKS 133
    Anne-Ce´ cile Orgerie and Laurent Lefe` vre
     
    5.1 Introduction 133
     
    5.2 Related Works 134
     
    5.3 ERIDIS: Energy-Efficient Reservation Infrastructure for Large-Scale Distributed Systems 138
     
    5.4 EARI: Energy-Aware Reservation Infrastructure for Data Centers and Grids 147
     
    5.5 GOC: Green Open Cloud 149
     
    5.6 HERMES: High Level Energy-Aware Model for Bandwidth Reservation in End-To-End Networks 152
     
    5.7 Summary 158
     
    References 158
     
    6 ENERGY-EFFICIENT JOB PLACEMENT ON CLUSTERS, GRIDS, AND CLOUDS 163
    Damien Borgetto, Henri Casanova, Georges Da Costa, and Jean-Marc Pierson

    6.1 Problem and Motivation 163
     
    6.2 Energy-Aware Infrastructures 164
     
    6.3 Current Resource Management Practices 167
     
    6.4 Scientific and Technical Challenges 170
     
    6.5 Energy-Aware Job Placement Algorithms 172
     
    6.6 Discussion 180
     
    6.7 Conclusion 183
     
    References 184
     
    7 COMPARISON AND ANALYSIS OF GREEDY ENERGY-EFFICIENT SCHEDULING ALGORITHMS FOR COMPUTATIONAL GRIDS 189
    Peder Lindberg, James Leingang, Daniel Lysaker, Kashif Bilal, Samee Ullah Khan, Pascal Bouvry, Nasir Ghani, Nasro Min-Allah, and Juan Li
     
    7.1 Introduction 189
     
    7.2 Problem Formulation 191
     
    7.3 Proposed Algorithms 193
     
    7.4 Simulations, Results, and Discussion 203
     
    7.5 Related Works 211
     
    7.6 Conclusion 211
     
    References 212
     
    8 TOWARD ENERGY-AWARE SCHEDULING USING MACHINE LEARNING 215
    Josep LL. Berral, In~ igo Goiri, Ramon Nou, Ferran Julia` , Josep O. Fito´ , Jordi Guitart, Ricard Gavalda´ , and Jordi Torres
     
    8.1 Introduction 215
     
    8.2 Intelligent Self-Management 218
     
    8.3 Introducing Power-Aware Approaches 225

    8.4 Experiences of Applying ML on Power-Aware Self-Management 230
     
    8.5 Conclusions on Intelligent Power-Aware Self-Management 238
     
    References 240