Scheduling Virtual Machines for Load balancing in Cloud Computing Platform

Cloud computing enables developers to automatically deploy applications during task allocation and storage distribution by using distributed computing technologies in numerous servers. To gain the maximum benefit from cloud computing, developers must design mechanisms that optimize the use of architectural and deployment paradigms. The role of Virtual Machines (VMs) has emerged as an important issue because, through virtualization technology, it makes cloud computing infrastructures to be scalable. Therefore developing on optimal scheduling of virtual machines is an important issue. In this paper a analysis of different existing Virtual Machines (VMs) scheduling algorithms are done and proposed a weighted Round Robin algorithm over Round Robin algorithm in Virtual Machine environment of cloud computing in order to achieve better overall response time and processing time. The simulation results show the weighted round robin algorithm shows better improvements over Round-Robin algorithm. Then Comparison between Round Robin and Weighted Round Robin algorithm shows there is a improvement in Weighted Round Robin algorithm.