Improving the Resource Allocation in Grid Computing using Fusion of SS-GA

Grid computing is the collection of resources from multiple locations to reach a standard goal. It interconnected the systems where the ma-chines utilized the same resources. Actually, the failures and high execution time depends on the resource allocation. The Sharing of resources of grid computing are related to the distributed computer systems. The sifted scheduler managed the work flow and Genetic Algorithm finds the applications and generates the solutions to optimization of the problems. The proposed method minimizes the response time and maximizes the utilization of work mode. The optimization factors are reduces the rate of failures and execution time of grid. This paper proposes the response time and improves resources providing of grid computing.