On-line scheduling of unit time jobs with rejection: Minimizing the total completion time

Leah Epstein, John Noga, Gerhard J. Woeginger

Research output: Contribution to journalArticlepeer-review

Abstract

We consider on-line scheduling of unit time jobs on a single machine with job-dependent penalties. The jobs arrive on-line (one by one) and can be either accepted and scheduled, or be rejected at the cost of a penalty. The objective is to minimize the total completion time of the accepted jobs plus the sum of the penalties of the rejected jobs. We give an on-line algorithm for this problem with competitive ratio 1/2(2 + 3) ≈ 1.86602. Moreover, we prove that there does not exist an on-line algorithm with competitive ratio better than 1.63784.

Original languageEnglish
Pages (from-to)415-420
Number of pages6
JournalOperations Research Letters
Volume30
Issue number6
DOIs
StatePublished - Dec 2002
Externally publishedYes

Keywords

  • Competitive analysis
  • On-line algorithm
  • Scheduling
  • Worst-case bounds

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'On-line scheduling of unit time jobs with rejection: Minimizing the total completion time'. Together they form a unique fingerprint.

Cite this