Research on key techniques about unstructured P2P information retrieval
Changle Zhou · Caai Transactions on Intelligent Systems · 2006
How to find and locate information in a decentralized and dynamic network is a big problem for all P2P(peer-to-peer)file-sharing systems.Unfortunately,existing P2P searching mechanisms are usually dissatisfied.For example,structured P2P systems are efficient but lack of actual implementing on the Internet because of their complicated structures.Unstructured P2P systems are inefficient but more popular.In this paper,a new approach to P2P information retrieval based on unstructured P2P systems is presented by using ant colony algorithm and information recommendation services to improve the search efficiency.Ant colony algorithm is used to make routing decisions,which makes the searches tend to the most favorable direction.Besides,information recommendation services can reduce blind searches and raise the file-sharing level.In order to evaluate and validate this model,a simulated P2P application consisted of a network of peer nodes is built.The results show that the searching mechanism has good performances on the search success rate and load balancing.