Performance Trade-off Exploration by Query-Trail-Mediated Topology Reconstruction in Unstructured P2P Networks

This paper presents a topology reconstruction method to explore better trade-off points between search and access load balancing performance in unstructured peer-to-peer (P2P) file sharing networks. The proposed topology reconstruction method changes a network topology in a dynamic, autonomous, and decentralized manner. The topology reconstruction is based on local threshold-based rules that use query trails, which stand for information on previous successful search paths. A power-law network is used as the initial network in simulations. The simulation results show that, depending on the setting of the threshold values, compared to the case without topology reconstruction, the proposed method can explore better trade-off points between search and storage access load balancing performance.