Dynamic Data Replication Creation Strategy Design and Simulation in Data Grid

Data Grid provides geographically distributed data resources. However, ensuring efficient and fast access to such huge and widely distributed data is hindered by the high latencies of the Internet. Data replication is an effective approach and one of the challenges in data replication is to select the candidate sites to place replicas. To address this problem an adaptive replication strategy RGRS(Replica Group based Replication Strategy) was introduced, which was dynamically depending on current conditions, offering improved scalability of the overall system, and was able to achieve optimized placement location. Replication placement decisions were made based on a cost model that evaluated data access costs and performance gains of creating each replica. Meanwhile, the granularity and creating time of replica were discussed. Through analysis and simulations, the results prove that the replication strategy is dynamic, adaptive and scalable, improving the performance of the data access in Data Grid.