Research on Replication Strategies for Data Grid Based on OptorSim
Jiong Li, Guangchun Luo, Hao Chen
Abstract
Jiong Li, Guangchun Luo, Hao Chen
Abstract
Replication strategies directly affect the performance of grid resources in data grid. As the replication strategies are of great importance to data grid, this article built up a simulative environment with OptorSim simulators, and analyzed different replication strategies according to different accessing models. It is verified by the simulation results that the replication strategies adopted in this article can greatly cut down the system cost of single operation and make the best of each computing unit.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Replication strategies directly affect the performance of grid resources in data grid. As the replication strategies are of great importance to data grid, this article built up a simulative environment with OptorSim simulators, and analyzed different replication strategies according to different accessing models. It is verified by the simulation results that the replication strategies adopted in this article can greatly cut down the system cost of single operation and make the best of each computing unit.
Key concepts: Replication (statistics), Computer science, Data grid, Grid, Distributed computing, Grid computing, Mathematics, Geometry