License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.10071.5
URN: urn:nbn:de:0030-drops-25435
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2010/2543/
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Khuller, Samir ; Li, Jian ; Saha, Barna

Energy Efficient Scheduling via Partial Shutdown

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10071.KhullerSamir.Paper.2543.pdf (0.3 MB)

Abstract

We define a collection of new problems referred to as ``machine activation''
problems. The central framework we introduce considers a collection of M
machines (unrelated or related), with machine $i$ having an activation
cost of $a_i$.
There is also a collection of N jobs that need to be performed, and
$p_{ij}$ is the processing time of job $j$ on machine $i$.
Standard scheduling models assume that the set of machines is fixed
and all machines are available. We assume that there is an activation cost
budget of $A$
-- we would like to select a subset S of the machines to activate
with total cost $a(S)le A$ and find a schedule for the jobs on the
machines in $S$ minimizing the makespan. In this work we develop
bi-criteria approximation algorithms for this problem based on both
LP rounding and a greedy approach.


BibTeX - Entry

@InProceedings{khuller_et_al:DagSemProc.10071.5,
  author =	{Khuller, Samir and Li, Jian and Saha, Barna},
  title =	{{Energy Efficient Scheduling via Partial Shutdown}},
  booktitle =	{Scheduling},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10071},
  editor =	{Susanne Albers and Sanjoy K. Baruah and Rolf H. M\"{o}hring and Kirk Pruhs},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2010/2543},
  URN =		{urn:nbn:de:0030-drops-25435},
  doi =		{10.4230/DagSemProc.10071.5},
  annote =	{Keywords: Unrelated parallel machine scheduling, approximation algorithms}
}

Keywords: Unrelated parallel machine scheduling, approximation algorithms
Collection: 10071 - Scheduling
Issue Date: 2010
Date of publication: 03.05.2010

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