计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 244-247.

• 人工智能 • 上一篇    下一篇

基于滑动窗口的蚁群在线调度算法

孙立斌,邓蓉   

  1. (同济大学计算机科学与技术系 上海201804) (同济大学嵌入式系统与服务计算教育部重点实验室 上海200092)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Slide Window Based Ant Colony Algorithm for Online Grid Scheduling

  • Online:2018-11-16 Published:2018-11-16

摘要: 任务调度是网格计算领域的一个核心问题。目前,国内外有大量针对网格离线调度问题的研究,对在线调度问题却研究得较少。基于滑动窗口的蚁群算法SWbAC(Silde Window based Ant Colony)采用两类窗口分别记录最近一段时间到达的任务信息以及资源的负载情况,并通过这些信息对未来进行预测。为了验证算法的有效性,首先对GridSim平台进行了扩展,模拟了资源负载实时变化的情况。对比实验的结果表明,SWbAC算法的平均任务周转时间要比Online Min-Min算法短3%~10%.

关键词: 网格仿真器,在线调度,滑动窗口,蚁群

Abstract: Task scheduling is a key problem of grid computing. Currently, a large number of researches focus on offline grid scheduling. Research on online scheduling is inadequate. Here a slide window based ant colony algorithm (SWbAC) for online grid scheduling was proposed. Two kinds of slide windows are used respectively to record recently received gridlet and the dynamic statuses of grid resources. These information are used to predict the future incoming gridlets and resources' statuses. hhe experiment platform is based on an extension for Gridsim, simulating the dynamic changes of grid resources' status. Compared with Online Min-Min algorithm, our algorithm performs 3%~10% better in view of average makcspan of gridlcts.

Key words: Grid simulator, Online scheduling, Slide window, Ant colony

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