Khuller, Samir ;
Li, Jian ;
Saha, Barna
Energy Efficient Scheduling via Partial Shutdown
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:DSP:2010:2543,
author = {Samir Khuller and Jian Li and Barna Saha},
title = {Energy Efficient Scheduling via Partial Shutdown},
booktitle = {Scheduling},
year = {2010},
editor = {Susanne Albers and Sanjoy K. Baruah and Rolf H. M{\"o}hring and Kirk Pruhs},
number = {10071},
series = {Dagstuhl Seminar Proceedings},
ISSN = {1862-4405},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2010/2543},
annote = {Keywords: Unrelated parallel machine scheduling, approximation algorithms}
}
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Keywords: |
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Unrelated parallel machine scheduling, approximation algorithms |
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Seminar: |
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10071 - Scheduling
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Issue date: |
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2010 |
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Date of publication: |
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03.05.2010 |
03.05.2010
