DocumentCode :
2439464
Title :
Agent-Based Intelligent Resource Discovery Scheme in P2P Networks
Author :
Tan, Yunsong ; Han, Jianjun ; Lu, Yansheng
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
752
Lastpage :
756
Abstract :
A peer-to-peer (P2P) system consists of a number of decentralized distributed network nodes that are capable of sharing resources without centralized supervision. One of the most important functions in P2P system is locating resources. Dynamic joins and leaves of the node and heterogeneous network structure in P2P system make it a difficult problem to discover shared resource. In this paper, we propose a intelligent resource discovery mechanism based on the mobile agent technology. Agents maintain local resource information and mobile agents migrate on network to discover shared resource. The mobile agents adaptively learn paths within the P2P networks to enable rapid location of resources. Preliminary results of our algorithm demonstrate that resource can be quickly acquired and network traffic can be reduced greatly, scalability and robustness can also be improved based on the mobile agent technology.
Keywords :
mobile agents; peer-to-peer computing; resource allocation; P2P network; agent-based intelligent resource discovery scheme; decentralized distributed network node; heterogeneous network structure; mobile agent; peer-to-peer system; resource sharing; Competitive intelligence; Computational intelligence; Computer networks; Distributed computing; Information retrieval; Intelligent agent; Intelligent networks; Mobile agents; Peer to peer computing; Telecommunication traffic; Agent; P2P Networks; Resource Discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.364
Filename :
4756877
Link To Document :
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