A Replica Replacement Algorithm Based on Value-Cost Prediction

Data Grid is a new kind of data management infrastructure. To improve access efficiency, large amounts of data oil Data Grids need to be replicated in the form of replicas at distributed sites, Due to the limited storage capacity, a good replica replacement algorithm is needed. This paper proposes a replica replacement algorithm based oil value-cost prediction, which achieves a good balance between value and cost. The algorithm predicts replica value to select replicas that will be replaced in the first stage, and predicts the bandwidth to make replacement cost as low as possible in the second stage. Simulation shows that compared with traditional replacement algorithms Our replica replacement algorithm contributes to better grid performance.