Dynamic Job and Resource Grouping-Based Scheduling in Grid Computing

Grid computing is a group of clusters connected over high-speed networks that involves coordinating and sharing computational power, data storage and network resources operating across dynamic and geographically dispersed locations. However, scheduling in grid is confronted with many challenges, because resources are heterogeneous, geographically dispersed and dynamic in nature. In this paper, a new resource grouping algorithm called Resource Based Grouping Algorithm (RBGA), is proposed. that performs job grouping activity at runtime and the simulation results shows significant improvement in the processing time of jobs and resource utilization as compared to others.