Skip to Main Content
Efficient and trustworthy file querying is important to the overall performance of peer-to-peer (P2P) file sharing systems. Emerging methods are beginning to address this challenge by exploiting online social networks (OSNs). However, current OSN-based methods simply cluster common-interest nodes for high efficiency or limit the interaction between social friends for high trustworthiness, which provides limited enhancement or contradicts the open and free service goal of P2P systems. Little research has been undertaken to fully and cooperatively leverage OSNs with integrated consideration of proximity and interest. In this work, we analyze a BitTorrent file sharing trace, which proves the necessity of proximityand interest-aware clustering. Based on the trace study and OSN properties, we propose a SOcial Network integrated P2P file sharing system with enhanced Efficiency and Trustworthiness (SoNet) to fully and cooperatively leverage the common-interest, proximity-close and trust properties of OSN friends. SoNet uses a hierarchical distributed hash table (DHT) to cluster common-interest nodes, then further cluster proximity-close nodes into subcluster, and connects the nodes in a subcluster with social links. Thus, when queries travel along trustable social links, they also gain higher probability of being successfully resolved by proximityclose nodes, simultaneously enhancing efficiency and trustworthiness. The results of trace-driven experiments on the realworld PlanetLab testbed demonstrate the higher efficiency and trustworthiness of SoNet compared with other systems.