A Practical Approach of Diffusion Load Balancing Algorithms
Identifieur interne : 005823 ( Main/Exploration ); précédent : 005822; suivant : 005824A Practical Approach of Diffusion Load Balancing Algorithms
Auteurs : Emmanuel Jeannot [France] ; Flavien Vernier [France]Source :
English descriptors
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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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Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>CONVERGENCE DETECTION</term><term>CONVERGENCE DETECTION.</term><term>DIFFUSION</term><term>ITERATIVE ALGORITHM</term><term>LOAD BALANCING</term><term>PARAMETER DEFINITION</term><term>SIMULATED ANNEALING</term></keywords></textClass></profileDesc></teiHeader><front><div type="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.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Jeannot, Emmanuel" sort="Jeannot, Emmanuel" uniqKey="Jeannot E" first="Emmanuel" last="Jeannot">Emmanuel Jeannot</name></region><name sortKey="Vernier, Flavien" sort="Vernier, Flavien" uniqKey="Vernier F" first="Flavien" last="Vernier">Flavien Vernier</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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