北京邮电大学学报

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北京邮电大学学报

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基于改进蚁群算法的网格资源调度

黄文明;兰静;张阳   

  1. 桂林电子科技大学研H5班
  • 收稿日期:2009-04-13 修回日期:1900-01-01 出版日期:2009-04-28 发布日期:2009-04-28
  • 通讯作者: 兰静
  • 基金资助:
     

Research on Grid Resource Scheduling Based onImproved Ant Colony Algorithm

    

  1.  
  • Received:2009-04-13 Revised:1900-01-01 Online:2009-04-28 Published:2009-04-28
  • Supported by:
     

摘要: 针对网格资源的分布式共享,提出了一种改进的蚁群算法,并用于网格资源调度中. 在算法中引入了资源节点的可信度,并作为蚂蚁残留的信息素评估要素之一,通过对可信度的评估,在一定程度上增强了蚁群算法的搜索能力和网格资源的可靠性. 在算法中设计了局部和全局信息素更新机制,实现了各资源节点上的负载均衡. 通过选取适当的参数,利用GridSim工具对基于改进蚁群算法的网格资源调度策略进行了仿真实验测试. 实验结果证明,该策略能有效地提高网格系统资源的利用率和任务提交的成功率,缩短了整个网格系统调度的总执行时间,改善了网格系统的性能.

关键词: 网格资源调度, 改进蚁群算法, 可信度, 信息素, gridsim

Abstract: For the distributed resources sharing of grid, an improved ant colony algorithm is proposed to apply to grid resource scheduling. First, trust value is applied to the algorithm as the important pheromone of the ant remnants. Through the evaluation of the trust value, the algorithm can effectively improve the search ability and the reliability of grid resource. Secondly, a local and global pheromone updating mechanism is designed to realize load balance at each resource node. Finally, GridSim is used to simulate the strategy of campus grid resource scheduling based on the improved ant colony algorithm by choosing some appropriate parameters. Experiment shows the that, with the aid of the algorithm, the utilization rate of grid resources and success rate of task committing is increased, and the execution time of grid resource scheduling is reduced , the performance of the grid system is thereafter improved.

Key words: grid resource scheduling, improved ant colony algorithm, trust value, pheromone, gridsim

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