Title :
A resource discovery model based on multi-agent technology in P2P system
Author_Institution :
Coll. of Comput. Sci., Beijing Univ. of Technol., China
Abstract :
Dynamic joins and leaves of the node and heterogeneous network structure in a P2P system make it difficult to discover shared resources. A resource discovery model based on multiagent technology is presented. Agents maintain local resource information and mobile agents migrate on the network to discover shared resources. Multiagents cooperate with each other by means of pheromone and local heuristic information in an ant system. The system model and decision algorithm are described. Resources can be quickly acquired, network traffic can be reduced greatly, ans scalability and robustness can also be improved based on this model in a P2P system.
Keywords :
mobile agents; multi-agent systems; peer-to-peer computing; resource allocation; P2P system; ant system; local heuristic information; mobile agents; multiagent technology; pheromone; resource discovery; Computer science; Distributed computing; Educational institutions; Intelligent agent; Intelligent networks; Mobile agents; Peer to peer computing; Resource management; Telecommunication traffic; Traffic control;
Conference_Titel :
Intelligent Agent Technology, 2004. (IAT 2004). Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2101-0
DOI :
10.1109/IAT.2004.1343016
