Abstract: A method based on Ant Colony Optimization（ACO） for grid scheduling is proposed to minimize the makespan.The job length is exploited to update the local pheromone and global pheromone to improve load balance.We simulate the algorithm in Gridsim environment,and the simulation results demonstrate that the proposed algorithm is superior to some heuristic algorithms such as min-min and max-min.

摘要： 提出基于蚁群算法的网格调度算法,优化作业完成时间。同时局部升级和全局升级采用不同策略,解决资源负载均衡问题,满足网格的多目标优化。最后通过Gridsim仿真环境和其他算法进行比较分析。