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Assessing the Quality of Automatically Built Network Representations

Identifieur interne : 001004 ( Hal/Curation ); précédent : 001003; suivant : 001005

Assessing the Quality of Automatically Built Network Representations

Auteurs : Lionel Eyraud-Dubois [France] ; Martin Quinson [France]

Source :

RBID : Hal:inria-00188408

Abstract

In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such knowledge is usually not available, one must use tools which automatically build a topological network model through some measurements. Our aim is to define a methodology to assess the quality of these network model building tools, and to apply this methodology to representatives of the main classes of model builders. Using this approach, we show that none of the main existing techniques build models that enable to accurately predict the running time of simple application kernels for actual platforms.

Url:
DOI: 10.1109/CCGRID.2007.25

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Hal:inria-00188408

Le document en format XML

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<surname>Eyraud-Dubois</surname>
</persName>
<idno type="halAuthorId">226800</idno>
<orgName ref="#struct-300009"></orgName>
<affiliation ref="#struct-35033"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Martin</forename>
<surname>Quinson</surname>
</persName>
<email>martin.quinson@loria.fr</email>
<idno type="idHal">martin-quinson</idno>
<idno type="halAuthorId">139557</idno>
<orgName ref="#struct-300291"></orgName>
<affiliation ref="#struct-2346"></affiliation>
</author>
</analytic>
<monogr>
<idno type="halJournalId" status="INCOMING">45443</idno>
<title level="j">Seventh IEEE International Symposium on Cluster Computing and the Grid (Workshop on Programming Models for Grid Computing)</title>
<meeting>
<title>Workshop on Programming Models for Grid Computing - organized at IEEE/ACM International Symposium on Cluster Computing and the Grid - CCGrid 2007</title>
<date type="start">2007-05</date>
<settlement>Rio de Janeiro</settlement>
<country key="BR">Brazil</country>
</meeting>
<editor>Alfredo Goldman, Arnaud Legrand, Denis Trystram, Renato Cerqueira</editor>
<imprint>
<publisher>IEEE Computer Society</publisher>
<biblScope unit="pp">795 - 800</biblScope>
<date type="datePub">2007</date>
</imprint>
</monogr>
<idno type="doi">10.1109/CCGRID.2007.25</idno>
</biblStruct>
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<profileDesc>
<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<classCode scheme="halDomain" n="info.info-dc">Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]</classCode>
<classCode scheme="halDomain" n="info.info-mo">Computer Science [cs]/Modeling and Simulation</classCode>
<classCode scheme="halDomain" n="info.info-ni">Computer Science [cs]/Networking and Internet Architecture [cs.NI]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such knowledge is usually not available, one must use tools which automatically build a topological network model through some measurements. Our aim is to define a methodology to assess the quality of these network model building tools, and to apply this methodology to representatives of the main classes of model builders. Using this approach, we show that none of the main existing techniques build models that enable to accurately predict the running time of simple application kernels for actual platforms.</abstract>
<particDesc>
<org type="consortium">Grid'5000</org>
</particDesc>
</profileDesc>
</hal>
</record>

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