Skip to Main Content
Grid computing has emerged as an important new field wherein the focus lies on resource sharing, innovative applications, and high-performance orientation. Computational Grid can be defined as large-scale high-performance distributed computing environments that provide access to high-end computational resources. Since the grid is a vast array of resources, monitoring of the grid is essential to improve debugging facilities and performance enhancement. Monitoring system must be able to provide information about the current state of various grid entities such as grid resources and running jobs as well as to provide notifications when certain important events occur. In this paper we provide a status monitoring system, which keeps track of the percentage of the job completed. It computes the time completed as a percentage of the total execution time of the job. The estimated run time of job is calculated using Performance Prediction. It uses Priority based Algorithm for global scheduling and Levelized Weight Tuning technique for local scheduling the jobs.