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Energy-Aware Scheduling of Flow Applications on Master-Worker Platforms

  • Jean-François Pineau
  • Yves Robert
  • Frédéric Vivien
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5704)

Abstract

We consider the problem of scheduling an application composed of independent tasks on a fully heterogeneous master-worker platform with communication costs. We introduce a bi-criteria approach aiming at maximizing the throughput of the application while minimizing the energy consumed by participating resources. Assuming arbitrary super-linear power consumption laws, we investigate different models for energy consumption, with and without start-up overheads. Building upon closed-form expressions for the uniprocessor case, we derive optimal or asymptotically optimal solutions for both models.

Keywords

Power Consumption Flow Application Unit Time Task Power Consumption Ratio Task Rejection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jean-François Pineau
    • 5
  • Yves Robert
    • 2
    • 3
    • 4
  • Frédéric Vivien
    • 1
    • 3
    • 4
  1. 1.INRIAFrance
  2. 2.ENS LyonFrance
  3. 3.Université de LyonFrance
  4. 4.LIP laboratoryENS Lyon–CNRS–INRIA–UCBL, LyonFrance
  5. 5.LIRMM laboratoryUMR 5506, CNRS–Université Montpellier 2France

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