To increase grid resource utilization rate, this thesis proposes an improved ant colony algorithm, and applied it to the grid resources scheduling. The ant colony algorithm introduces the price feedback mechanism, so both the resource providers' and consumers' own economic interests can be achieved by scheduling and selecting the regulation of resource's prices. Furthermore, the ant colony algorithm can solve the problems appearing in scheduling resource effectively and improve the performance of grid system so that a task can be scheduled reasonably and grid users can be provided with satisfactory service.
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