Developing Variance Considered Enhanced Round Robin Algorithm in Cloud Computing Environment

Abstract

Today cloud computing is the most elevating innovation due to its revolutionary and momentous power. In cloud computing, task scheduling plays a key role in improving the performance of a cloud system. It plays a vital role in succeeding high-level performance and throughput by having the highest benefit from the resources. Improving job scheduling algorithms will improve the quality of service, resulting in greater cloud computing system sustainability. The task scheduling algorithm is primarily concerned with achieving proficiency and ensuring fairness in the execution of tasks. In this paper, we concentrate on Task scheduling algorithms and on approaches that are meant to generate effective schedules. We have proposed a novel technique which is called variance considered Round Robin (VCRR) task scheduling algorithm. In comparison to several studied algorithms, the experimental findings generated using the Cloud-Analyst tool showed that VCRR greatly improved the average waiting time, turnaround time, context switch, and response time