SCHEDULING IN THE PRESENCE OF PROCESSOR NETWORKS: COMPLEXITY AND APPROXIMATION
Identifieur interne : 001E89 ( Main/Exploration ); précédent : 001E88; suivant : 001E90SCHEDULING IN THE PRESENCE OF PROCESSOR NETWORKS: COMPLEXITY AND APPROXIMATION
Auteurs : Vincent Boudht [France] ; Johanne Cohhn [France] ; Rodolphe Giroudeau [France] ; Jean-Clalide Könic [France]Source :
- RAIRO. Recherche opérationnelle [ 0399-0559 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In this paper, we study the problem of makespan minimization for the multiprocessor scheduling problem in the presence of communication delays. The communication delay between two tasks i and j depends on the distance between the two processors on which these two tasks are executed. Lahlou shows that a simple polynomial-time algorithm exists when the length of the schedule is at most two (the problem becomes NP-complete when the length of the schedule is at most three). We prove that there is no polynomial-time algorithm with a performance guarantee of less than 4/3 (unless P = NP) to minimize the makespan when the network topology is a chain or ring and the precedence graph is a bipartite graph of depth one. We also develop two polynomial-time approximation algorithms with constant ratio dedicated to cases where the processor network admits a limited or unlimited number of processors.
Affiliations:
- France
- Grand Est, Languedoc-Roussillon, Lorraine (région), Occitanie (région administrative)
- Mtoutpellier, Vandœuvre-lès-Nancy
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000118
- to stream PascalFrancis, to step Curation: 000894
- to stream PascalFrancis, to step Checkpoint: 000102
- to stream Main, to step Merge: 001F11
- to stream Main, to step Curation: 001E89
Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Approximation algorithm</term>
<term>Bipartite graph</term>
<term>Distributed system</term>
<term>Makespan</term>
<term>Minimization</term>
<term>Modeling</term>
<term>Multiprocessor</term>
<term>NP complete problem</term>
<term>Network topology</term>
<term>Polynomial time</term>
<term>Precedence constraint</term>
<term>Precedence graph</term>
<term>Processor scheduling</term>
<term>Ring</term>
<term>Transmission time</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Temps total achèvement</term>
<term>Minimisation</term>
<term>Temps polynomial</term>
<term>Problème NP complet</term>
<term>Topologie circuit</term>
<term>Système réparti</term>
<term>Anneau</term>
<term>Graphe précédence</term>
<term>Contrainte précédence</term>
<term>Graphe biparti</term>
<term>Multiprocesseur</term>
<term>Algorithme approximation</term>
<term>Délai transmission</term>
<term>Modélisation</term>
<term>.</term>
<term>Ordonnancement processeur</term>
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<front><div type="abstract" xml:lang="en">In this paper, we study the problem of makespan minimization for the multiprocessor scheduling problem in the presence of communication delays. The communication delay between two tasks i and j depends on the distance between the two processors on which these two tasks are executed. Lahlou shows that a simple polynomial-time algorithm exists when the length of the schedule is at most two (the problem becomes NP-complete when the length of the schedule is at most three). We prove that there is no polynomial-time algorithm with a performance guarantee of less than 4/3 (unless P = NP) to minimize the makespan when the network topology is a chain or ring and the precedence graph is a bipartite graph of depth one. We also develop two polynomial-time approximation algorithms with constant ratio dedicated to cases where the processor network admits a limited or unlimited number of processors.</div>
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