Study on PSO algorithm in solving grid task scheduling

In order to resolve the resources management in dynamic heterogeneous environment, a kind of task scheduling model for grid environment was proposed. The model considers the computing resources, storage resources and bandwidth resources of current virtual organization in grid, and the optimal target of the model is to achieve the max-ratio and the min-cost of the above three kinds of resources, viz to build the min-max function. To compare with GA(genetic algorithm), PSO(particle swarm optimization) was applied in solving the min-max function so that the ratio of using resources and the efficiency of scheduling task are enhanced. Meanwhile, with the rise of iterative times, the searching speed, optimization ratio and avoiding pre-maturity are also distinctly enhanced.