M-Throttled: Dynamic Load Balancing Algorithm for Cloud Computing

Abstract

Cloud computing environment can also be called as Internet-based computing process in which there is no limitation of work. There are multiple numbers of data center (DC) available for solving multiple user requests coming from a different user base (UB). The data center is capable of negotiating multiple instructions simultaneously. But the instructions are submitted to the DC randomly. Thus, there is chance of overload for a particular DC. Hence, the load balancing plays a vital role in cloud computing to maintain the performance of the computing environment. In this research article, we have implemented throttled, round-robin, and the shortest job first loadbalancing algorithm. Also, we have proposed one more algorithm called M-throttled which has the high performance compared to others. We have taken different parameters such as overall response time and DC processing time for comparison. These are simulated by taking closest data center policy in CloudSim environment.