Optimal on-line algorithms to minimize makespan on two machines with resource augmentation

Leah Epstein, Arik Ganot

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

We study the problem of on-line scheduling on two uniformly related machines where the on-line algorithm has resources different from those of the off-line algorithm. We consider three versions of this problem: preemptive semi-online, non-preemptive on-line and preemptive on-line scheduling. For all these cases we design algorithms with best possible competitive ratios as a function of the machine speeds.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsKlaus Jansen, Roberto Solis-Oba
PublisherSpringer Verlag
Pages109-122
Number of pages14
ISBN (Electronic)3540210792, 9783540210795
DOIs
StatePublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2909
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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