TRP Maximization Technique based Efficient Scheduling in Grid Environment

Abstract

-The problem of heterogeneous job scheduling in grid environment is well studied. Number of approaches considers different factors of resource and process in terms of completion, waiting and throughput. However, the methods suffer to achieve higher performance in scheduling in grid environment. To improve the performance, an efficient TRP maximization algorithm is presented in this paper. First, the method identifies list of processes and their required resource with their hold time. Based on the information obtained, a set of two hop sequences are generated for each resource available. For each two hop sequence, the method compute throughput maximization support, resource utilization maximization factor and process completion maximization factor. Using all these, a scheduling maximization support has been estimated. Based on the support measure a single one has been selected for each resource available. The same will be iterated for each level of scheduling and the method produces higher efficiency in scheduling. The performance of scheduling has been improved with less waiting time.