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Energy-aware Scheduling on Multiprocessor Platforms

  • Book
  • © 2013

Overview

Authors:
  1. Dawei Li

    1. , Department of Computer, Temple University, Philadelphia, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Jie Wu

    1. Temple University, Philadelphia, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vii
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  2. Introduction

    • Dawei Li, Jie Wu
    Pages 1-2

  3. System Model

    • Dawei Li, Jie Wu
    Pages 3-11

  4. Scheduling on Homogeneous DVFS Multiprocessor Platforms

    • Dawei Li, Jie Wu
    Pages 13-40

  5. Scheduling on Heterogeneous DVFS Multiprocessor Platforms

    • Dawei Li, Jie Wu
    Pages 41-52

  6. Related Work

    • Dawei Li, Jie Wu
    Pages 53-54

  7. Conclusion and Future Directions

    • Dawei Li, Jie Wu
    Pages 55-56

  8. Back Matter

    Pages 57-59
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Keywords

About this book

Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms.

Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multi­processor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority sched­uling, partition-based/global scheduling, and application-specific power consumption, etc.

Authors and Affiliations

  • , Department of Computer, Temple University, Philadelphia, USA

    Dawei Li

  • Temple University, Philadelphia, USA

    Jie Wu

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