An Effective Resource Utilization by Using MEASY Algorithm in Cloud

In large scale super computing environment, parallel machines have traditionally used space-sharing strategies to accommodate multiple jobs at the same time by dedicating the nodes to a single job until it completes. This results in starvation of larger jobs, reduced throughput and underutilization of resources. Existing scheduling schemes make use of backfilling strategies which preempt shortest jobs to execute when jobs at head of the queue have unavailable of resources. In this paper, MEASY algorithm is proposed which adopts migration and consolidation to enhance the most popular EASY scheduling algorithm. It outperforms quality of service and increase resource utilization by providing improvement on the average response time.