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International Journal of Distributed Sensor Networks Volume 5, 2009 - Issue 1
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Min-Min Chromosome Genetic Algorithm for Load Balancing in Grid Computing

Wanneng Shu College of Computer Science, South-Central University for Nationalities, Wuhan, ChinaCorrespondence[email protected]
&
Jiangqing Wang College of Computer Science, South-Central University for Nationalities, Wuhan, China
Pages 62-63 | Published online: 28 Jan 2009
 
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Abstract

Load balancing is a very important and complex problem in grid computing. This paper studies Min-min chromosome genetic algorithm (MCGA) to gauge their suitability for solving grid load balancing problems. The effectiveness of the MCGA algorithm is shown for a number of test problems. Performance comparisons with Min–min, and genetic algorithm are also discussed.

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