Off-line temporary tasks assignment

Yossi Azar, Oded Regev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we consider the temporary tasks assignment problem. In this problem, there are m parallel machines and n independent jobs. Each job has an arrival time, a departure time and some weight. Each job should be assigned to one machine. The load on a machine at a certain time is the sum of the weights of jobs assigned to it at that time. The objective is to find an assignment that minimizes the maximum load over machines and time. We present a polynomial time approximation scheme for the case in which the number of machines is fixed. We also show that for the case in which the number of machines is given as part of the input (i.e., not fixed), no algorithm can achieve a better approximation ratio than4/3 unless P = NP.

Original languageEnglish (US)
Title of host publicationAlgorithms - ESA 1999 - 7th Annual European Symposium, Proceedings
EditorsJaroslav Nešetřil
PublisherSpringer Verlag
Pages163-171
Number of pages9
ISBN (Print)3540662510, 9783540662518
DOIs
StatePublished - Jan 1 1999
Event7th Annual European Symposium on Algorithms, ESA 1999 - Prague, Czech Republic
Duration: Jul 16 1999Jul 18 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1643
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Annual European Symposium on Algorithms, ESA 1999
CountryCzech Republic
CityPrague
Period7/16/997/18/99

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Azar, Y., & Regev, O. (1999). Off-line temporary tasks assignment. In J. Nešetřil (Ed.), Algorithms - ESA 1999 - 7th Annual European Symposium, Proceedings (pp. 163-171). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1643). Springer Verlag. https://doi.org/10.1007/3-540-48481-7_15