Online scheduling of splittable tasks

Authors Leah Epstein, Rob van Stee



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Leah Epstein
Rob van Stee

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Leah Epstein and Rob van Stee. Online scheduling of splittable tasks. In Algorithms for Optimization with Incomplete Information. Dagstuhl Seminar Proceedings, Volume 5031, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)
https://doi.org/10.4230/DagSemProc.05031.21

Abstract

We consider online scheduling of splittable tasks on parallel machines. In our model, each task can be split into a limited number of parts, that can then be scheduled independently. We consider both the case where the machines are identical and the case where some subset of the machines have a (fixed) higher speed than the others. We design a class of algorithms which allows us to give tight bounds for a large class of cases where tasks may be split into relatively many parts. For identical machines we also improve upon the natural greedy algorithm in other classes of cases.
Keywords
  • online scheduling
  • splittable tasks
  • parallel machines
  • greedy algorithm

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