Balanced Job scheduling Based on ant algorithm for Grid Network
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Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. The main scope of this article is to propose a new Ant Colony Optimization (ACO) algorithm for balanced job scheduling in the Grid environment. To achieve the above goal, we will indicate a way to balance the entire system load while minimizing the makespan of a given set of jobs. Based on the experimental results, the proposed algorithm confidently demonstrates its practicability and competitiveness compared with other job scheduling algorithms.
[1] Jack Dongarra,et al. Handbook of Research on Scalable Computing Technologies , 2009 .
[2] Edgar Gabriel. Runtime Adaptation Techniques for HPC Applications , 2010 .