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Load balancing using enhanced ant algorithm in grid computing

Abdul Nasir, Husna Jamal and Ku-Mahamud, Ku Ruhana and Mohamed Din, Aniza (2010) Load balancing using enhanced ant algorithm in grid computing. In: Second International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 , 28-30 Sept. 2010 , Bali, Indonesia.

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Load balancing is one of the critical issues that must he considered in managing a grid computing environment.It is complicated due to the distributed and heterogeneous nature of the resources.An enhanced ant algorithm for load balancing in grid computing is proposed in this papcr.The proposed algorithm will determine the best resource to he allocated to the jobs based on job characteristics and resource capacity, and at the same time to balance the entire resources.The proposed algorithm focuses on local pheromone trail update and trail limit. A grid resource table is used in this proposed technique to store all information about jobs, resources and pheromone value. The credibility of the proposed algorithm is compared with other approach and results produced showed that the algorithm can balance the load of the resources

Item Type: Conference or Workshop Item (Paper)
Additional Information: Print ISBN: 978-1-4244-8652-6
Uncontrolled Keywords: Load Balancing, Grid Scheduling, Ant Algorithm
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 20 Sep 2011 01:46
Last Modified: 21 Jan 2013 03:34

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