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Grid load balancing using enhance ant colony optimization


Ku-Mahamud, Ku Ruhana and Abdul Nasir, Husna Jamal and Mohamed Din, Aniza (2011) Grid load balancing using enhance ant colony optimization. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011 , Bandung, Indonesia.

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Abstract

This study presents a new algorithm based on ant colony optimization for load balancing management in grid computing. The concentration is on improving the way ants search the best resources in terms of minimizing the processing time of each job and at the same time balancing the workload on available resources. An enhanced technique is proposed for the pheromone update activities. Single colony of ants is used for searching the best resources to process jobs. The credibility of the proposed algorithm was tested with other load balancing algorithim and results showed that the proposed algorithm was able to balance the load on the resources.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: grid load balancing, ant colony optimization, resource utilization
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 21 Dec 2011 04:32
Last Modified: 07 Apr 2015 07:03
URI: http://repo.uum.edu.my/id/eprint/4011

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