网格服务资源多维性能聚类任务调度

网格计算是当前一个重要的研究领域,其中任务调度是一个基本组成部分,其性能直接影响到网格服务质量.为了缩短任务调度完成时间,提高任务调度性能,提出了一种网格资源多维性能聚类任务调度算法MPCGSR (task scheduling algorithm based on multidimensional performance clustering of grid service resources).该算法根据网格环境下服务资源数量庞大、异构、多样的特点,预先以构建的网格服务资源超图模型为基础,结合小世界理论对服务资源进行多维性能聚类,将任务与聚类资源相匹配并实施调度.模拟实验结果表明,算法较之同类算法具有优越性,是一种有效的网格任务调度算法.

Task Scheduling Based on Multidimensional Performance Clustering of Grid Service Resources

Grid computing is currently an important research area and task scheduling is a basal part of it. The performance of task scheduling directly affects grid QoS. A task scheduling algorithm based on multidimensional performance clustering of grid service resources, MPCGSR (task scheduling algorithm based on multidimensional performance clustering of grid service resources), is proposed for shortening the completion time of task scheduling and improving task scheduling performance. In the algorithm, combined with the theory of small world, the multidimensional performance clustering of service resources is executed in advance based on the hypergraph model of grid service resources constructed according to characteristics of grid resources such as its huge numbers, heterogeneity and multiplicity. Tasks are matched to clustering resources and scheduled. Simulation results show that it is an effective grid task scheduling algorithm that is superior to other kindred algorithms.