Simulation of Optimisation Strategies for Data Grids
نویسنده
چکیده
Grid computing is emerging as the best solution to the problems posed by the massive computational and data handling requirements of many current international scientific projects, such as the Large Hadron Collider at CERN. Simulation of the Grid environment is important to evaluate the impact of potential data handling strategies before they are deployed on the Grid. This report looks at the effects of various job scheduling and data replication strategies and compares them in a variety of Grid scenarios, evaluating several performance metrics using the Grid simulator OptorSim. This simulation environment closely mimics current Grid architecture and results are based on simulation of a world-wide Grid testbed for data intensive High Energy Physics experiments. The results show that the choice of job scheduling and data replication strategies can have a large effect on both job throughput and the overall consumption of Grid resources.
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