Grid networking is one of the computing methods used to improve the performance, quality of service and provide the better utilization. It enables the application data in an open environment. Grid scheduling is a process of selecting which job is in queue and it is maintained which is to be next. The main goal of the scheduling is to minimize the make-span by finding the solution. Grid is basically a collection of distributed computing resources within one or multiple locations. The computer resources are collected to act as a unified processing resource. The interconnecting process of these resources are made into a unified pool involves the coordination of the usage policies, queuing issues, job scheduling, grid security and user authentication. The grid networking used here to interconnect and utilize the available processor, storage, or memory subcomponents of distributed computing systems to solve larger problems more efficiently. This Improved GA algorithm represents a balanced scheduling approach of VM resources in Grid Networking. This helps to provide high make-span of resource scheduling in comparing with Genetic Algorithm.
