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Scheduling Jobs on Heterogeneous Platforms

  • Marin Bougeret
  • Pierre Francois Dutot
  • Klaus Jansen
  • Christina Robenek
  • Denis Trystram
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6842)

Abstract

In the context of grid scheduling we consider a scheduling scenario, where parallel jobs have to be scheduled non-preemptively on heterogeneous computational platforms of processors. The speed of the processors may differ among the platforms and the jobs are submitted simultaneously or over time and cannot run across multiple platforms. We focus on the target of minimizing the total makespan, i.e. the global latest finishing time of a job. In this paper we present an AFPTAS for the problem without release times and show how to generalize our result to malleable jobs and jobs with release times.

Keywords

Release Time General Assignment Problem Heterogeneous Platform Strip Packing Unique Assignment 
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 2011

Authors and Affiliations

  • Marin Bougeret
    • 1
  • Pierre Francois Dutot
    • 1
  • Klaus Jansen
    • 2
  • Christina Robenek
    • 2
  • Denis Trystram
    • 1
  1. 1.LIGGrenoble UniversityFrance
  2. 2.Department of Computer ScienceChristian-Albrechts-University KielKielGermany

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