Proactive Replica Placement Using Mobility Prediction

Abstract

In mobile distributed computing scenarios, data replication management can be enhanced by considering client mobility. This work introduces a mobility model for mobile clients which enables proactive replica placement based on mobility predictions to increase the responsiveness of data access for mobile end users and to reduce the network load in the system. The concept is applied to a flexible replica placement algorithm and is evaluated using GPS traces generated by taxis in the city of Vienna, Austria. We show results demonstrating that replica placement can be improved by adding mobility prediction and discuss the influences of prediction accuracy on the accuracy of the placement strategy.