Load Balancing Management by Efficient Controlling Mobiles Agents
Mohamed Bahaj1, Abdellatif Soklabi2, Ilias Cherti3
1Mohamed Bahaj, Department of Mathematics and Computer Science, University Hassan 1st, Fsts, Labo Liten, Settat, Morocco.
2Abdellatif Soklabi, Department of Mathematics And Computer Science, University Hassan 1st, Fsts, Labo Liten, Settat, Morocco.
3Ilias Cherti, Department of Mathematics and Computer Science, University Hassan 1st, Fsts, Labo Liten, Settat, Morocco.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 24-30 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1073112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Load balancing is a computer networking methodology which allows the distribution of the workload across multiple computers or computing devices, such as central processing units, disk drives, or other resources, to reach optimal resource utilization, reduce response time, maximize throughput and circumvent overload. The Use of multiple computers with load balancing, instead of a single computer, may increase reliability through redundancy. Our contribution outlines the adaptation of the Shadow approach used to control mobiles agents for developing a load balancing management algorithm in distributed systems. This approach does not only distribute the loads on the nodes and collect its running result, but it also manages the tasks execution places during all the execution time. Thereby, we get a selforganized load balancing infrastructure.
Keywords: Bistributed computing, load balancing, mobiles agents.