Comparision of a New Approach of Balancing the Load in Cloud Environment with the Existing Techniques

In cloud Computing, Load Balancing is essential for efficient operations in distributed environments. As Cloud Computing is growing rapidly and clients are demanding more services and better results, load balancing for the Cloud has become a very interesting and important research area. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. Our objective is to implement an effective load balancing algorithm for balancing the load on cloud. In this thesis, we have studied and implemented three algorithm using Java Programming and simulate the algorithms on CloudSim. The Main contribution of CloudSim is to provide a holistic software framework for modeling Cloud computing environments and performance testing application services. And, I have proved that the proposed algorithm Active Clustering gives the better results than RASA and ACO. I analyzed the results on the basis of different parameters (Resource Arrival Time, Processing time of Tasks, Tasks Arrival Time, Utilizations of Tasks, and Response Time).