Competitive ratio of List Scheduling on uniform machines and randomized heuristics

  • Authors:
  • Antoine Musitelli;Jean-Marc Nicoletti

  • Affiliations:
  • Dipartimento di Matematica pura ed applicata, Università degli Studi di Padova, Padova, Italy 35121;ROSO/IMA, EPFL, Lausanne, Switzerland 1015

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2011

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Abstract

We study online scheduling on m uniform machines, where m驴1 of them have a reference speed 1 and the last one a speed s with 0驴s驴1. The competitive ratio of the well-known List Scheduling (LS) algorithm is determined. For some values of s and m=3, LS is proven to be the best deterministic algorithm. We describe a randomized heuristic for m machines. Finally, for the case m=3, we develop and analyze the competitive ratio of a randomized algorithm which outperforms LS for any s.