Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/23427
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dc.contributor.authorWided, Ali-
dc.date.accessioned2023-03-22T08:24:00Z-
dc.date.available2023-03-22T08:24:00Z-
dc.date.issued2020-06-01-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/23427-
dc.description.abstractIn grid computing, if the system load in each of resources is nearly equal, it indicates correct use of resources. In this thesis , an agent based load balancing model is presented. In addition of balancing the load in grid by job migration technique , or by moving an entire process to a underloaded resources. The proposed agent based load balancing model aims to take benefit of the agent‟s characteristics to generate an autonomous system. It also has a distinct advantage over other agent based load balancing models on resource utilisation. The performance evaluation appears that the proposed algorithm can enhance the overall performance of grid computingen_US
dc.language.isoenen_US
dc.subjectGrid Computing; Job Migration; Load Estimation; Performance Metrics; Resource Utilization; Queue Length; CPU Usage ; Multi-agent systemen_US
dc.titleÉquilibrage de charge dynamique dans les grilles de calcul : une approche à base d'agentsen_US
dc.typeThesisen_US
Appears in Collections:Informatique



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