Information Replication Strategy in Unstructured Peer-to-Peer Networks Using Thematic Agents
Autor: | Pierre-François Marteau, N. Bonnel, Gildas Ménier |
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Přispěvatelé: | Laboratoire de Recherche en Informatique et ses Applications de Vannes et Lorient (VALORIA), Université de Bretagne Sud (UBS), IEEE Computer Society, Adapnet, Bonnel, Nicolas |
Jazyk: | angličtina |
Rok vydání: | 2007 |
Předmět: |
Computer science
Distributed computing Replication 02 engineering and technology Peer-to-peer Network topology computer.software_genre Agent [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 020204 information systems 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) [INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] Distributed Computing Environment P2P [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI] business.industry Specific-information Fault tolerance Replication (computing) Software agent [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] 020201 artificial intelligence & image processing [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA] [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] business computer Computer network |
Zdroj: | Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications Seventh International Conference on Intelligent Systems Design and Applications Seventh International Conference on Intelligent Systems Design and Applications, Oct 2007, Rio de Janeiro, Brazil. pp.697-702 ISDA |
Popis: | International audience; We present in this article a method to wisely replicate information in an unstructured peer-to-peer network. We make no assumption on the network topology. Thematic agents move randomly on the network and estimate the level of redundancy of the specific information they are dealing with. They can delete or create replicas if this estimated redundancy is too high or too low. Experiments show that we can achieve an homogeneous distribution of information in a distributed environment while achieving a high level of fault tolerance. |
Databáze: | OpenAIRE |
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