Distributed load balancing model for grid computing environment

Workload information management and resource management are two key aspects in grid computing to provide the better services to grid environment users. Grid computing also faced other challenging areas like heterogeneous nature of resources, huge number of computing elements, independency of computing resources, different processing capacities of the nodes, different types of load conditions, overloading of jobs at computing nodes, underutilized of resources, etc. A distributed load balancing algorithm is proposed that can handle any kind of grid structure. The proposed algorithm is divided into two steps: To reduce the time taken for executing the jobs or we can say reduce the response time and communication cost between transferring the jobs from one computing node to another in a grid architecture. In proposed algorithm it is shown that the load will be primarily balanced at local level to reduce the communication cost.