A new data-intensive task scheduling in optorsim, an open source grid simulator

摘要

Scheduling is one of the most important issues in executing tasks in grid systems. A data grid mainly deals with sharing and managing large amounts of distributed data in executing data-intensive applications. It is primarily a solution to satisfy the requirements of data-intensive tasks processing. OptorSim is a useful open source simulation tool for data grids. In this paper a new two-step data-intensive task scheduling called DSAS was proposed, implemented and, incorporated as a new scheduling package into OptorSim. As stated by the simulation results, the proposed scheduling strategy which was added to OptorSim, improves the mean response time and the mean waiting time of tasks compared to other common tasks scheduling strategies. The modified OptorSim benefits from a new scheduling package which improves the performance of task scheduling.