Improving Data Replication in Mobile Grids using Mobility Prediction

Data replication is a technique used in mobile grid environments to enhance system reliability by increasing data availability and reducing access latency and network utilization. Due to the dynamic nature of mobile grids, replica placement becomes one of the most important challenges. It has a great impact on the performance of the whole system. Efficient placement strategies should consider both system capacity and user mobility to avoid increasing replication cost. In this paper, we integrated two simple replica placement algorithms (greedy and random) into an accurate mobility prediction to investigate the effect of this integration on the accuracy of placement. Our simulation results showed that the performance of replica placement improved by considering users' current and future locations.