A biology-inspired model for the automatic dissemination of information in P2P networks

Issue title: Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments

Guest editors: Enda Ridgex, Edward Curryy, Daniel Kudenkox and Dimitar Kazakovx

Article type: Research Article

Authors: Guéret, C.^{; *} | Monmarché, N. | Slimane, M.

Affiliations: Université François Rabelais Tours, Laboratoire d'Informatique, 64, Avenue Jean Portalis, 37200 Tours France. E-mails: gueret@univ-tours.fr, monmarche@univ-tours.fr, slimane@univ-tours.fr | [x] Department of Computer Science, The University of York, York YO10 5DD, UK | [y] Department of Information Technology, National University of Ireland, Galway, Ireland

Correspondence: [*] Corresponding author. Tel.: +33 2 47 36 14 29; Fax: +33 2 47 36 14 22

Abstract: The Personal Intelligent Agents Framework (PIAF) is a framework developped in the context of research on smart web browsers. Compared to a classical browser, this smart browser should help the user to find and share information using the Internet network. This paper presents algorithms used in PIAF for the selective dissemination of information in a P2P network. They use ideas from epidemic systems and are based on an artificial ant colony model. The main contribution made to the domain of selective information diffusion is the use of estimated profiles defined by pheromone trails associated to connections between peers.

Keywords: P2P network, gossip algorithm, artificial ants

DOI: 10.3233/MGS-2007-3107

Journal: Multiagent and Grid Systems, vol. 3, no. 1, pp. 87-104, 2007