An improved algorithm for online machine minimization

Yossi Azar, Sarel Cohen

Research output: Contribution to journalArticlepeer-review

Abstract

The online machine minimization problem seeks to design a preemptive scheduling algorithm on multiple machines — each job j arrives at its release time rj, has to be processed for pj time units, and must be completed by its deadline dj. The goal is to minimize the number of machines the algorithm uses. We improve the O(logm)-competitive algorithm by Chen, Megow and Schewior (SODA 2016) and provide an O([Formula presented])-competitive algorithm.

Original languageEnglish
Pages (from-to)128-133
Number of pages6
JournalOperations Research Letters
Volume46
Issue number1
DOIs
StatePublished - Jan 2018

Keywords

  • Analysis of algorithms
  • Competitive ratio
  • Online machine minimization
  • Scheduling

All Science Journal Classification (ASJC) codes

  • Software
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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