Load Balancing for Moving Object Management in a P2P Network

Online games and location-based services now form the potential application domains for the P2P paradigm. In P2P systems, balancing the workload is essential for overall performance. However, existing load balancing techniques for P2P systems were designed for stationary data. They can produce undesirable workload allocations for moving objects that is continuously updated. In this paper, we propose a novel load balancing technique for moving object management using a P2P network. Our technique considers the mobility of moving objects and uses an accurate cost model to optimize the performance in the management network, in particular for handling location updates in tandem with query processing. In a comprehensive set of experiments, we show that our load balancing technique gives constantly better update and query performance results than existing load balancing techniques.