A Practical Approach of Diffusion Load Balancing Algorithms
Identifieur interne : 004440 ( Hal/Checkpoint ); précédent : 004439; suivant : 004441A Practical Approach of Diffusion Load Balancing Algorithms
Auteurs : Emmanuel Jeannot [France] ; Flavien Vernier [France]Source :
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Abstract
In this paper, a practical approach of diffusion load balancing algorithms and its implementation are studied. Three problems are investigated. The first is the determination of the load balancing parameters without any global knowledge. The second problem consists in estimating the cost and the benefit of a load exchange. The last one studies the convergence detection of the load balancing algorithm. For this last point we give an algorithm based on simulated annealing to reduce the convergence towards a load repartition in steps that can be done with discrete loads. Several simulations close this paper and illustrate the impact of the various methods and algorithms introduced.
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Three problems are investigated. The first is the determination of the load balancing parameters without any global knowledge. The second problem consists in estimating the cost and the benefit of a load exchange. The last one studies the convergence detection of the load balancing algorithm. For this last point we give an algorithm based on simulated annealing to reduce the convergence towards a load repartition in steps that can be done with discrete loads. Several simulations close this paper and illustrate the impact of the various methods and algorithms introduced.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">A Practical Approach of Diffusion Load Balancing Algorithms</title><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><author role="aut"><persName><forename type="first">Flavien</forename><surname>Vernier</surname></persName><email></email><idno type="halauthor">99285</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">2006-05-23 17:10:48</date><date type="whenWritten">2006-03</date><date type="whenModified">2016-05-18 08:57:00</date><date type="whenReleased">2006-05-31 14:24:25</date><date type="whenProduced">2006</date><date type="whenEndEmbargoed">2006-05-23</date><ref type="file" target="https://hal.inria.fr/inria-00071394/document"><date notBefore="2006-05-23"></date></ref><ref type="file" n="1" target="https://hal.inria.fr/inria-00071394/file/RR-5875.pdf"><date notBefore="2006-05-23"></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-00071394</idno><idno type="halUri">https://hal.inria.fr/inria-00071394</idno><idno type="halBibtex">jeannot:inria-00071394</idno><idno type="halRefHtml">[Research Report] RR-5875, INRIA. 2006</idno><idno type="halRef">[Research Report] RR-5875, INRIA. 2006</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">A Practical Approach of Diffusion Load Balancing Algorithms</title><author role="aut"><persName><forename type="first">Emmanuel</forename><surname>Jeannot</surname></persName><idno type="halAuthorId">59340</idno><affiliation ref="#struct-2346"></affiliation></author><author role="aut"><persName><forename type="first">Flavien</forename><surname>Vernier</surname></persName><idno type="halAuthorId">99285</idno><affiliation ref="#struct-2346"></affiliation></author></analytic><monogr><idno type="reportNumber">RR-5875</idno><imprint><date type="datePub">2006</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">CONVERGENCE DETECTION.</term><term xml:lang="en">PARAMETER DEFINITION</term><term xml:lang="en">SIMULATED ANNEALING</term><term xml:lang="en">CONVERGENCE DETECTION</term><term xml:lang="en">LOAD BALANCING</term><term xml:lang="en">ITERATIVE ALGORITHM</term><term xml:lang="en">DIFFUSION</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">In this paper, a practical approach of diffusion load balancing algorithms and its implementation are studied. Three problems are investigated. The first is the determination of the load balancing parameters without any global knowledge. The second problem consists in estimating the cost and the benefit of a load exchange. The last one studies the convergence detection of the load balancing algorithm. For this last point we give an algorithm based on simulated annealing to reduce the convergence towards a load repartition in steps that can be done with discrete loads. Several simulations close this paper and illustrate the impact of the various methods and algorithms introduced.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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