A Capacity-Based Load Balancing and Job Migration Algorithm for Heterogeneous Computational Grids
This paper addresses the problem of scheduling and load balancing in heterogeneous computational grids. The authors proposed a two-level load balancing policy for the multi-cluster grid environment where computational resources are dispersed in different administrative domains or clusters which are located in different local area networks. The proposed load balancing policy takes into account the heterogeneity of the computational resources. It distributes the system workload based on the processing elements capacity which leads to minimize the overall job mean response time and maximize the system utilization and throughput at the steady state. To evaluate the performance of the proposed load balancing policy, an analytical model is developed. The results obtained analytically are validated by simulating the model using Arena simulation package.