An improved approximation algorithm for the ancient scheduling problem with deadlines

Eugene Levner, Amir Elalouf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The aim of this paper is to develop an improved polynomial-time approximation algorithm belonging to the family of the fully polynomial time approximation schemes (FPTAS), for an ancient scheduling problem with deadlines. The algorithm permits to answer a question posed more than three decades ago in Gens & Levner (1981): 'Can an epsilon-approximation algorithm be found for the minimization version of the job-sequencing-with-deadlines problem running with the same complexity as the algorithms for the maximization form of the problem?' The new algorithm provides the positive answer.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
EditorsImed Kacem, Pierre Laroche, Zsuzsanna Roka
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-116
Number of pages4
ISBN (Electronic)9781479967735
DOIs
StatePublished - 23 Dec 2014
Event2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 - Metz, France
Duration: 3 Nov 20145 Nov 2014

Publication series

NameProceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014

Conference

Conference2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
Country/TerritoryFrance
CityMetz
Period3/11/145/11/14

Bibliographical note

Funding Information:
We would like to thank the HST project for the award of director’s discretionary time in support of the Capella simultaneous campaign. J. J. D. extends warm thanks to the CXC mission planning scientists, in particular Jan Vrtilek, for making the special effort to mesh the Chandra schedule with that of the three other participating satellites. O. J., J. J. D., N. S. B., P. F., and V. K. were supported by NASA contract NAS8-39073 to the CXC during the course of this research. A. K. D. and P. R. Y. acknowledge support, in part, from NASA grant G00-1044X. V. K. was also supported by NASA grants NAG5-9105 and NAG5-6675 and NASA HST grant GO-08546.01-A.

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Approximation algorithm
  • FPTAS
  • Job-sequencing-with-deadlines scheduling problem

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