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Grid computing technology can be seen as a positive alternative for implementing high-performance distributed computing. The goal of Grid computing is to create the illusion of virtual computer out of a large collection of connected heterogeneous nodes sharing various resources. The Grid system needs competent load balancing algorithms for the distribution of tasks in order to increase performance and efficiency. The process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring grid resources over time in order to run grid applications efficiently is known as Grid Resource Management. The main aim of load balancing is to provide a distributed, low-cost scheme that balances the load across all the processors. This book guides about a dynamic load balancing algorithm strategy in a simulated grid environment which fulfils the objective to achieve high performance computing by optimal usage of geographically distributed and heterogeneous resources in the grid environment.