Title :
Research on P2P Hybrid Information Retrieval Based on Ant Colony Algorithm
Author :
Cao, Yang ; Li, Shaozi
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ.
Abstract :
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
Keywords :
client-server systems; information retrieval; mobile agents; optimisation; peer-to-peer computing; ant colony algorithm; client-server system; information recommendation services; large-scale distributed information sharing; mobile agent; peer-to-peer architecture; peer-to-peer file-sharing network; peer-to-peer hybrid information retrieval; Algorithm design and analysis; Collaborative work; Computer architecture; Computer networks; Computer science; Information retrieval; Mobile agents; Network servers; Peer to peer computing; Routing; Ant Colony Algorithm; Information Recommendation; Information Retrieval; Mobile Agent; P2P;
Conference_Titel :
Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on
Conference_Location :
Nanjing
Print_ISBN :
1-4244-0164-X
Electronic_ISBN :
1-4244-0165-8
DOI :
10.1109/CSCWD.2006.253013
