Several semi-online scheduling problems on two identical machines with combined information

Qian Cao, Edwin Tai Chiu Cheng, Guohua Wan, Yi Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper we consider several semi-online scheduling problems on two identical machines with combined information. The objective of each problem is to minimize the makespan. The first problem is semi-online scheduling with known optimal solution value and maximum job size. We obtain a lower bound 65 and design an optimal algorithm with a competitive ratio 65. The second problem is semi-online scheduling with a buffer of size k, where k(k<1) is a finite positive integer, and known maximum job size. We obtain a lower bound 65 and design an algorithm with a competitive ratio 54. The third problem is semi-online scheduling with a buffer of size 1 and jobs arriving in decreasing order of their processing times. We obtain a lower bound 76, which matches an upper bound in the literature. The last problem is semi-online scheduling with a buffer of size 1 and all the job processing times being bounded in the interval [1,t](t<1). We obtain a lower bound maxmin43,t+26,min54,t+14,min76,t+23, where the lower bound 43 for t<6 matches an upper bound in the literature, and design an algorithm with a competitive ratio maxt+23,87 for 1≤t≤32, which is optimal for 107≤t≤32.
Original languageEnglish
Pages (from-to)35-44
Number of pages10
JournalTheoretical Computer Science
Volume457
DOIs
Publication statusPublished - 26 Oct 2012

Keywords

  • Buffer
  • Combined information
  • Identical machines
  • Scheduling
  • Semi-online

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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