An Enhanced Genetic Virtual Machine Load Balancing Algorithm for Data Center

Data centers with cloud computing platform host several resources using numerous virtual machines. Such situations may cause the degradation of performance and violations of service level agreement. These challenges are addressed by providing an efficient load balancing mechanism for data centers, and also the workload must be distributed dynamically between the nodes. In this paper, hybrid meta-heuristic genetic algorithm based load balancing technique using active virtual has been proposed and simulated by Cloud Analyst. Simulation results of this hybrid meta heuristic approach found to be encouraging. Obtained results of the proposed algorithm are compared and analyzed with existing traditional strategy and it outperformed which makes it suitable for the deployment over the data centers.