GRAAA: Grid Resource Allocation Based on Ant Algorithm
Selecting the appropriate resources for the particular task is one of major challenging work in the computational grid. The major objective of resource allocation in grid is effective scheduling of tasks and in turn the reduction in execution time. Hence the resource allocation must consider some specific characteristics of the resources, tasks and then decide the metrics to be used accordingly. Ant algorithm, which is one of the heuristic algorithm suits well for the allocation and scheduling in grid environment. In this paper, a Grid Resource Allocation based on Ant Algorithm (GRAAA) is proposed. The simulation result shows that the proposed algorithm is capable of producing high quality allocation of grid resources to tasks.