应用于云中MapReduce计算的动态资源调度算法

The Dynamic Resource Scheduler for MapReduce in the Cloud

越来越多的MapReduce计算由运行在云中虚拟机组成的虚拟集群完成,为增强虚拟MapReduce集群计算中任务的数据本地性,充分利用云计算的资源可动态配置的优势,提出了一种基于队列的动态资源调度算法,并模拟了云计算平台进行测试,实验结果表明动态资源调度算法提高了虚拟MapReduce集群的计算性能.

It has been increasingly adopted that MapReduce jobs runs on a set of virtual machines （VMs） in the cloud .To enhance the data locality of the tasks during the job ,leverages the advantage of the cloud′s dynamic resource reconfiguration ,this paper proposed a Queue-based dynamic resource schedule algorithm .Cloud platform had been simulated for the evaluation and the result shows that the scheduler efficiently improved the virtual clusters′performance .