Online scheduling on two uniform machines subject to eligibility constraints

Kangbok Lee, Joseph Y.T. Leung, Michael L. Pinedo

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We consider the online scheduling of a set of jobs on two uniform machines with the makespan as objective. The jobs are presented in a list. We consider two different eligibility constraint set assumptions, namely (i) arbitrary eligibility constraints and (ii) Grade of Service (GoS) eligibility constraints. In the first case, we prove that the High Speed Machine First (HSF) algorithm, which assigns jobs to the eligible machine that has the highest speed, is optimal. With regard to the second case, we point out an error in [M. Liu et al., Online scheduling on two uniform machines to minimize the makespan, Theoretical Computer Science 410 (21-23) (2009) 2099-2109]; we then provide tighter lower bounds and present algorithms with worst-case analysis for various ranges of machine speeds.

Original languageEnglish (US)
Pages (from-to)3975-3981
Number of pages7
JournalTheoretical Computer Science
Volume410
Issue number38-40
DOIs
StatePublished - Sep 6 2009

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Competitive ratio
  • Eligibility constraints
  • Grade of service eligibility
  • Online scheduling
  • Uniform machines

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