License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2018.25
URN: urn:nbn:de:0030-drops-85319
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8531/
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Demirci, Gökalp ; Hoffmann, Henry ; Kim, David H. K.

Approximation Algorithms for Scheduling with Resource and Precedence Constraints

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LIPIcs-STACS-2018-25.pdf (0.5 MB)

Abstract

We study non-preemptive scheduling problems on identical parallel machines and uniformly related machines under both resource constraints and general precedence constraints between jobs. Our first result is an O(logn)-approximation algorithm for the objective of minimizing the makespan on parallel identical machines under resource and general precedence constraints. We then use this result as a subroutine to obtain an O(logn)-approximation algorithm for the
more general objective of minimizing the total weighted completion time on parallel identical machines under both constraints. Finally, we present an O(logm logn)-approximation algorithm for scheduling under these constraints on uniformly related machines. We show that these results can all be generalized to include the case where each job has a release time. This is the first upper bound on the approximability of this class of scheduling problems where both resource and general precedence constraints must be satisfied simultaneously.

BibTeX - Entry

@InProceedings{demirci_et_al:LIPIcs:2018:8531,
  author =	{G{\"o}kalp Demirci and Henry Hoffmann and David H. K. Kim},
  title =	{{Approximation Algorithms for Scheduling with Resource and Precedence Constraints}},
  booktitle =	{35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)},
  pages =	{25:1--25:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-062-0},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{96},
  editor =	{Rolf Niedermeier and Brigitte Vall{\'e}e},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8531},
  URN =		{urn:nbn:de:0030-drops-85319},
  doi =		{10.4230/LIPIcs.STACS.2018.25},
  annote =	{Keywords: scheduling, resource, precedence, weighted completion time}
}

Keywords: scheduling, resource, precedence, weighted completion time
Collection: 35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)
Issue Date: 2018
Date of publication: 27.02.2018

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