Improvements and Study of the Accuracy of the Tasks Duration Predictor, New Heuristics
Identifieur interne : 004E23 ( Hal/Checkpoint ); précédent : 004E22; suivant : 004E24Improvements and Study of the Accuracy of the Tasks Duration Predictor, New Heuristics
Auteurs : Yves Caniou [France] ; Emmanuel Jeannot [France]Source :
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Abstract
The Historical Trace Manager is a task duration predictor module embedded in the agent of a Problem Solving Environment relying on the client-agent-server. The HTM is introduced in and . In this paper, we explain some improvements built into the HTM and NetSolve, the Problem Soving Environment we use for our tests, in order to synchronize the HTM to the reality.We also introduce two new scheduling heuritics relying on the HTM information: Advanced HMCT and Minimum Length.We study the scheduling of several scenarios, including the simultaneous submissions of DAGS and independent tasks, on a real heterogeneous platform.The excellent behavior of the HTM validates its estimations of the duration of each task concurrently running in the system. It can consequently predict the contention tasks may have on each other if scheduled and executed concurrently on the same computing resource.Heuristics performances show the relevancy of the HTM information through the experiments: their ability of behaving with a constant quality between two executions of the same experiment as well as the quality of their respective scheduling choices to optimize several criteria at the same time. We also show that heuristics which rely on minimizing the contention give generally the best results regardless the criterion.We finally compare the behavior of the heuristics previously tested in to the one observed here with more precise information on the global system state due to the synchronization mechanisms. Surprisingly, in the time-shared model, it does not necessarily improve the job repartition among the servers, performances can consequently decrease and the utilization of the fastest servers can become critical.
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type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>CLIENT-AGENT-SERVER</term><term>DYNAMIC SCHEDULING HEURISTICS</term><term>HISTORICAL TRACE MANAGER</term><term>MCT</term><term>TIME-SHARED RESOURCES</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Historical Trace Manager is a task duration predictor module embedded in the agent of a Problem Solving Environment relying on the client-agent-server. The HTM is introduced in and . In this paper, we explain some improvements built into the HTM and NetSolve, the Problem Soving Environment we use for our tests, in order to synchronize the HTM to the reality.We also introduce two new scheduling heuritics relying on the HTM information: Advanced HMCT and Minimum Length.We study the scheduling of several scenarios, including the simultaneous submissions of DAGS and independent tasks, on a real heterogeneous platform.The excellent behavior of the HTM validates its estimations of the duration of each task concurrently running in the system. It can consequently predict the contention tasks may have on each other if scheduled and executed concurrently on the same computing resource.Heuristics performances show the relevancy of the HTM information through the experiments: their ability of behaving with a constant quality between two executions of the same experiment as well as the quality of their respective scheduling choices to optimize several criteria at the same time. We also show that heuristics which rely on minimizing the contention give generally the best results regardless the criterion.We finally compare the behavior of the heuristics previously tested in to the one observed here with more precise information on the global system state due to the synchronization mechanisms. Surprisingly, in the time-shared model, it does not necessarily improve the job repartition among the servers, performances can consequently decrease and the utilization of the fastest servers can become critical.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Improvements and Study of the Accuracy of the Tasks Duration Predictor, New Heuristics</title><author role="aut"><persName><forename type="first">Yves</forename><surname>Caniou</surname></persName><email>caniou@loria.fr</email><idno type="halauthor">59335</idno><affiliation ref="#struct-2346"></affiliation></author><author role="aut"><persName><forename type="first">Emmanuel</forename><surname>Jeannot</surname></persName><email></email><idno type="halauthor">59340</idno><affiliation ref="#struct-2346"></affiliation></author><editor role="depositor"><persName><forename>Rapport De Recherche</forename><surname>Inria</surname></persName><email>rrrt-editeurs@inria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-05-19 21:37:41</date><date type="whenWritten">2004-05</date><date type="whenModified">2016-05-18 09:01:37</date><date type="whenReleased">2006-05-31 14:24:25</date><date type="whenProduced">2004</date><date type="whenEndEmbargoed">2006-05-19</date><ref type="file" target="https://hal.inria.fr/inria-00070786/document"><date notBefore="2006-05-19"></date></ref><ref type="file" n="1" target="https://hal.inria.fr/inria-00070786/file/RR-5206.pdf"><date notBefore="2006-05-19"></date></ref></edition><respStmt><resp>contributor</resp><name key="111068"><persName><forename>Rapport De Recherche</forename><surname>Inria</surname></persName><email>rrrt-editeurs@inria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00070786</idno><idno type="halUri">https://hal.inria.fr/inria-00070786</idno><idno type="halBibtex">caniou:inria-00070786</idno><idno type="halRefHtml">[Research Report] RR-5206, INRIA. 2004, pp.52</idno><idno type="halRef">[Research Report] RR-5206, INRIA. 2004, pp.52</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INRIA-RRRT">Rapports de recherche et Technique de l'Inria</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-NSS" p="LORIA">Réseaux, systèmes et services</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="0">Not set</note><note type="report" n="6">Research Report</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Improvements and Study of the Accuracy of the Tasks Duration Predictor, New Heuristics</title><author role="aut"><persName><forename type="first">Yves</forename><surname>Caniou</surname></persName><email>caniou@loria.fr</email><idno type="halAuthorId">59335</idno><affiliation ref="#struct-2346"></affiliation></author><author role="aut"><persName><forename type="first">Emmanuel</forename><surname>Jeannot</surname></persName><idno type="halAuthorId">59340</idno><affiliation ref="#struct-2346"></affiliation></author></analytic><monogr><idno type="reportNumber">RR-5206</idno><imprint><biblScope unit="pp">52</biblScope><date type="datePub">2004</date></imprint><authority type="institution">INRIA</authority></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">HISTORICAL TRACE MANAGER</term><term xml:lang="en">MCT</term><term xml:lang="en">CLIENT-AGENT-SERVER</term><term xml:lang="en">TIME-SHARED RESOURCES</term><term xml:lang="en">DYNAMIC SCHEDULING HEURISTICS</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="REPORT">Reports</classCode></textClass><abstract xml:lang="en">The Historical Trace Manager is a task duration predictor module embedded in the agent of a Problem Solving Environment relying on the client-agent-server. The HTM is introduced in and . In this paper, we explain some improvements built into the HTM and NetSolve, the Problem Soving Environment we use for our tests, in order to synchronize the HTM to the reality.We also introduce two new scheduling heuritics relying on the HTM information: Advanced HMCT and Minimum Length.We study the scheduling of several scenarios, including the simultaneous submissions of DAGS and independent tasks, on a real heterogeneous platform.The excellent behavior of the HTM validates its estimations of the duration of each task concurrently running in the system. It can consequently predict the contention tasks may have on each other if scheduled and executed concurrently on the same computing resource.Heuristics performances show the relevancy of the HTM information through the experiments: their ability of behaving with a constant quality between two executions of the same experiment as well as the quality of their respective scheduling choices to optimize several criteria at the same time. We also show that heuristics which rely on minimizing the contention give generally the best results regardless the criterion.We finally compare the behavior of the heuristics previously tested in to the one observed here with more precise information on the global system state due to the synchronization mechanisms. Surprisingly, in the time-shared model, it does not necessarily improve the job repartition among the servers, performances can consequently decrease and the utilization of the fastest servers can become critical.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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