Hierarchical Scheduling Algorithm for Grid Computing Environment

Grid computing is increasingly being viewed as the next phase of distributed computing. Grid aims to maximize the utilization of an organization's computing resources by making them shareable across applications. In grid computing, job scheduling is an important task. Load balancing and proper resource allocation are critical issues that must be considered in managing a grid computing environment. Load Balancing is the technique which distributes the workload across multiple computers to reduce the latency of process execution with proper resource utilization. To resolve these issues, we are proposing hierarchical scheduling algorithm to provide a superior load balancing mechanism at grid level. And improved hierarchical scheduling algorithm which reduces makes span of the job and improves overall performance of the grid environment.