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A Grid Computing Task Scheduling Method Based on Target Genetic Algorithm

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5 Author(s)
Wanneng Shu ; Department of Computer Science, Hua Zhong Normal University, Wuhan 430079. E-mail: ; Shijue Zheng ; Wei Ma ; Guangdong Chen
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The complex resources and tasks in grid computing environment make it very difficult to validate the methods of resource management and task scheduling. This paper proposes a task scheduling model for grid computing, designs and realizes a target genetic algorithm based on task scheduling method, combining resource management and task scheduling then gives attention to quality of service. The experimental results are perfect

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2006 6th World Congress on Intelligent Control and Automation  (Volume:1 )

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