A  novel Agent Based Load Balancing Model for maximizing resource utilization in Grid Computing

Ali Wided; Kazar Okba

doi:10.31449/inf.v43i3.2944

A novel Agent Based Load Balancing Model for maximizing resource utilization in Grid Computing

Authors

Ali Wided biskra university
Kazar Okba biskra university

DOI:

https://doi.org/10.31449/inf.v43i3.2944

Abstract

Grid is the collection of geographically distributed computing resources. For efficient management of these resources, the manager must maximize its utilization, which can be achieved by efficient load balancing algorithm, The objective of load balancing algorithms is to assign the load on resources to optimize resource use while reducing total jobs execution time. the proposed agent based load balancing model aims to take benefit of the agent’s characteristics to generate an autonomous system. It also addresses similar systems drawbacks such as instability, scalability or adaptability. The performances of the proposed algorithms were tested in Alea 2 simulator by using different parameters like response time, resources utilization and waiting time in the global queue. The performance evaluation appears that the proposed algorithm can enhance the overall performance of grid computing.

Author Biography

Kazar Okba, biskra university

computer science department

References

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HAJOUI YOUNES et al., New load balancing Framework based on mobile AGENT and ant-colony optimization technique, Conference Intelligent Systems and Computer Vision (ISCV), At Fès,2017.

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http://www.cs.huji.ac.il/labs/parallel/workload/l_metacentrum/

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Published

2019-09-30

How to Cite

Wided, A., & Okba, K. (2019). A novel Agent Based Load Balancing Model for maximizing resource utilization in Grid Computing. Informatica, 43(3). https://doi.org/10.31449/inf.v43i3.2944

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Issue

Vol. 43 No. 3 (2019)

Section

Special Issue on Autonomic computing and applications for autonomous systems

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