Load Balancing Algorithm in Cloud Computing Using Mutation Based PSO Algorithm

Cloud computing is a prominent technology that uses dynamic allocation technique to assigns tasks to virtual machines (VM). As per the usage, users are charged by the cloud service provider. There are various challenges that a Cloud service provider (CSP) faces, out of which load balancing being one of the significant challenge. Many algorithms have been proposed till now for load balancing algorithm, where each one focuses on the different parameters. However these proposed approached in the literature experiences various issues such as poor speed for convergence, untimely convergence, the first random chosen solution. None of the algorithms has proven to be completely sufficient. To solve the problems associated with existing meta-heuristic techniques, paper discuss a load balancing approach that is based on mutative Particle Swarm optimization. The load on the data centers are balanced by the help of proposed algorithm and parameters such as makespan are minimized while improving the overall fitness function of algorithm.