ITSGrid资源调度策略的研究

Research on distributed resources scheduling strategy in the ITSGrid

定义了系统负载均衡评价值和资源节点满意度评价模型,并在此基础上设计了一种分布式资源自适应调度算法(GLBCQ),同时兼顾全局负载均衡和用户自定义的服务质量,可根据智能交通系统计算任务的自定义服务质量需求,结合当前智能交通系统网格的系统负载状况,为提交的任务自适应地选择最优资源.仿真实验结果表明,GLBCQ算法具有更高的效率和自适应性,能够促进智能交通系统网格的系统负载均衡以及整体性能的提升.

A distributed resource adaptive scheduling algorithm GLBCQ （ Global Load Balance and Customed QoS） is proposed , which could take the customed QoS requirement of ITS computing tasks and current system load status of ITSGrid into account and select the optimal resources for the submitted tasks adaptively . Experimental result showed that compared to classical algorithms , GLBCQ has a higher efficiency and adaptability which could promote load balance and overall performance of the ITSGrid .