Diversity and progress controlled gravitational search algorithm for balancing load in cloud

Abstract

Load scheduling is used to distribute load over the cloud. Various load scheduling techniques are used for efficient functioning of cloud. Recently many search based optimization techniques have been successfully used for the process of load scheduling. These optimization techniques considerably reduces the time which is required to solve the problem of load scheduling in cloud computing. This paper discusses about Diversity and Progress Controlled Gravitational Search Algorithm. The results of proposed approach are compared with Gravitational Search Algorithm and Particle Swarm Optimization. Experimental results confirm that the proposed approach is better than PSO and GSA.