Scheduling tasks sharing files on heterogeneous master–slave platforms
نویسندگان
چکیده
منابع مشابه
Scheduling Tasks Sharing Files on Heterogeneous Clusters
This paper is devoted to scheduling a large collection of independent tasks onto heterogeneous clusters. The tasks depend upon (input) files which initially reside on a master processor. A given file may well be shared by several tasks. The role of the master is to distribute the files to the processors, so that they can execute the tasks. The objective for the master is to select which file to...
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This paper is devoted to scheduling a large collection of independent tasks onto a distributed heterogeneous platform, which is composed of a set of servers. Each server is a processor cluster equipped with a file repository. The tasks to be scheduled depend upon (input) files which initially reside on the server repositories. A given file may well be shared by several tasks. For each task, the...
متن کاملScheduling Tasks Sharing Files from Distributed Repositories (revised Version) Scheduling Tasks Sharing Files from Distributed Repositories (revised Version)
This paper is devoted to scheduling a large collection of independent tasks onto a large distributed heterogeneous platform, which is composed of a set of servers. Each server is a processor cluster equipped with a file repository. The tasks to be scheduled depend upon (input) files which initially reside on the server repositories. A given file may well be shared by several tasks. For each tas...
متن کاملScheduling Tasks Sharing Files from Distributed Repositories (revised version)
This paper is devoted to scheduling a large collection of independent tasks onto a large distributed heterogeneous platform, which is composed of a set of servers. Each server is a processor cluster equipped with a file repository. The tasks to be scheduled depend upon (input) files which initially reside on the server repositories. A given file may well be shared by several tasks. For each tas...
متن کاملOrdonnancement sur plates-formes hétérogènes de tâches partageant des données. (Scheduling Tasks Sharing Data on Heterogeneous Platforms)
Résumé Cet article est consacré à l’ordonnancement d’un grand ensemble de tâches indépendantes sur des plates-formes hétérogènes distribuées. Les tâches dépendent de données (en entrée) qui sont initialement réparties sur les différents nœuds de la plate-forme. Une certaine donnée peut être partagée par plusieurs tâches. Pour chaque tâche, notre problème est de décider sur quel nœud de la plate...
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ژورنال
عنوان ژورنال: Journal of Systems Architecture
سال: 2006
ISSN: 1383-7621
DOI: 10.1016/j.sysarc.2004.10.008