Research On Cloud Platform Scheduling Algorithm Based On MapReduce

With the rapid development of computer technology,through in-depth analysis and calculation of the scheduling algorithm,it is found that the existing scheduling algorithm in the actual task scheduling can not quickly and efficiently assign tasks and satisfy the user's Qo S,and the completion time of the task can not be effectively evaluated by the existing schedule model,at the same time there is expected to overload the problem.In this paper,the disadvantages of the traditional scheduling algorithm in reducing the average completion time and realizing load balance are combining Igaaco scheduling algorithm and Tssact scheduling strategy,this paper presents a MRIG-TSSACT scheduling model,which is based on the shortest completion time scheduling strategy and introduces a scheduling model of scheduler master node,which is mainly responsible for matching calculation of tasks and resources in the process of scheduling.Can effectively reduce the master node's computational load.The feasibility and effectiveness of the algorithm and the scheduling scheme are verified by experiments.