Using Ant Colony Optimization for SuperScheduling in Computational Grid

The problem of how to allocate the resources optimally and adaptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches can't satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce Ant Colony Optimization applied for those models to implement resource allocation. We test the validity of Ant Colony Optimization which gets good results to satisfy with the needs of resource allocation in the dynamic, scalable grid environment with no global control.