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.2018.43
URN: urn:nbn:de:0030-drops-85034
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8503/
Go to the corresponding LIPIcs Volume Portal

Jäger, Sven ; Skutella, Martin

Generalizing the Kawaguchi-Kyan Bound to Stochastic Parallel Machine Scheduling

pdf-format:
LIPIcs-STACS-2018-43.pdf (0.6 MB)

Abstract

Minimizing the sum of weighted completion times on m identical
parallel machines is one of the most important and classical
scheduling problems. For the stochastic variant where processing
times of jobs are random variables, Möhring, Schulz, and Uetz (1999) presented the first and still best known approximation result,
achieving, for arbitrarily many machines, performance
ratio 1+1/2(1+Delta), where Delta is an upper bound on the
squared coefficient of variation of the processing times. We prove
performance ratio 1+1/2(sqrt(2)-1)(1+Delta)
for the same
underlying algorithm---the Weighted Shortest Expected Processing
Time (WSEPT) rule. For the special case of deterministic scheduling
(i.e., Delta=0), our bound matches the tight performance
ratio 1/2(1+sqrt(2)) of this algorithm (WSPT rule), derived by
Kawaguchi and Kyan in a 1986 landmark paper. We present several
further improvements for WSEPT's performance ratio, one of them
relying on a carefully refined analysis of WSPT yielding, for every
fixed number of machines m, WSPT's exact performance ratio of
order 1/2(1+sqrt(2))-O(1/m^2).

BibTeX - Entry

@InProceedings{jger_et_al:LIPIcs:2018:8503,
  author =	{Sven J{\"a}ger and Martin Skutella},
  title =	{{Generalizing the Kawaguchi-Kyan Bound to Stochastic Parallel Machine Scheduling}},
  booktitle =	{35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)},
  pages =	{43:1--43:14},
  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/2018/8503},
  URN =		{urn:nbn:de:0030-drops-85034},
  doi =		{10.4230/LIPIcs.STACS.2018.43},
  annote =	{Keywords: Stochastic Scheduling, Parallel Machines, Approximation Algorithm, List Scheduling, Weighted Shortest (Expected) Processing Time Rule}
}

Keywords: Stochastic Scheduling, Parallel Machines, Approximation Algorithm, List Scheduling, Weighted Shortest (Expected) Processing Time Rule
Collection: 35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)
Issue Date: 2018
Date of publication: 27.02.2018

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI