Research on P2P Hybrid Information Retrieval Based on Ant Colony Algorithm
Yang Cao, Shaozi Li · 2006
Peer-to-peer (P2P) architectures make each network node capable of being both a client and a server. Such a network is potentially powerful for developing large-scale distributed information sharing. This paper presents our recent research work on the P2P hybrid information retrieval based on ant colony algorithm (ACA). From various perspectives, our work focuses on how to improve retrieval efficiency in a P2P file-sharing network. A new model is proposed to implement P2P information retrieval. In order to evaluate and validate the model, we built a simulated P2P application consist of a network of peer nodes; mobile agent travel through the network, making peer nodes communicate with each other. The results show some advantages of the proposed approach for the P2P retrieval based on ant colony algorithm using information recommendation services