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ATAL
2006
Springer

Multi-agent based peer-to-peer information retrieval systems with concurrent search sessions

9 years 10 months ago
Multi-agent based peer-to-peer information retrieval systems with concurrent search sessions
In cooperative peer-to-peer information retrieval systems, each node can be considered an intelligent agent and these agents work collectively to provide an information retrieval service. In order to effectively support multiple and concurrent search sessions in the network, we propose two traffic engineering techniques that minimize processing and communication bottlenecks. One is a novel agent control mechanism whose elements include resource selection, local search scheduling, and feedback-based load control. The other is a new two-phase query routing algorithm based on organizational knowledge. Experimental results show that this framework can reduce congestion situations, increase system throughput, and improve considerably the overall system utility. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous General Terms Algorithms Keywords peer-to-peer information retrieval, agents, control
Haizheng Zhang, Victor R. Lesser
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where ATAL
Authors Haizheng Zhang, Victor R. Lesser
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