Abstract
In this paper, we report a novel and efficient algorithm for searching P2P networks having a power law topology. Inspired by the natural immune system, it is a completely decentralized algorithm where each peer searches by sending out random walkers to a limited number of neighbors. As it finds other peers having similar content, it restructures its own neighborhood with the objective of bringing them closer. This restructuring leads to clustering of nodes with similar content, thus forming P2P communities. Alongside, the search algorithm also adapts its walk strategy in order to take advantage of the community thus formed. This search strategy is more than twice as efficient as pure random walk on the same network.
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Ganguly, N., Canright, G., Deutsch, A.: Design Of An Efficient Search Algorithm For P2P Networks Using Concepts From Natural Immune Systems. In: Int’l Conf. on Parallel Problem Solving from Nature (2004)
Ganguly, N., Brusch, L., Deutsch, A.: Design and analysis of a bio-inspired search algorithm for peer to peer networks. SELF-STAR: Self-* Properties in Complex Information Systems (2005)
Klarreich, E.: Inspired by immunity. Nature 415, 468–470 (2002)
Babaoglu, O., Canright, G., Deutsch, A., Caro, G.D., Ducatelle, F., Gambardella, L., Ganguly, N., Jelasity, M., Montemanni, R., Montresor, A.: Design Patterns from Biology for Distributed Computing. ACM Transaction of Autonomous and Adaptive Systems 1(1) (September 2006)
Dickinson, R.B., Tranquillo, R.T.: A Stochastic Model for Adhesion-mediated Cell Random Motility and Haptotaxis. J. Math. Biol. 31(6), 563–600 (1993)
Asvanund, A., Krishnan, R.: Content-Based Community Formation in Hybrid Peer-to-Peer Networks. In: SIGIR Workshop on P2P Information Retrieval (2004)
Khambatti, M., Ryu, K., Dasgupta, P.: Structuring P2P Networks Using Interest-Based Communities, Databases, Information Systems & P2P Computing (2003)
Newman, M.: The structure and function of complex networks. SIAM Review (2003)
Murray, J.D.: Mathematical Biology. Springer, Heidelberg (1989)
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Das, T., Nandi, S., Deutsch, A., Ganguly, N. (2008). Bio-inspired Search and Distributed Memory Formation on Power-Law Networks. In: Rudolph, G., Jansen, T., Beume, N., Lucas, S., Poloni, C. (eds) Parallel Problem Solving from Nature – PPSN X. PPSN 2008. Lecture Notes in Computer Science, vol 5199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87700-4_16
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DOI: https://doi.org/10.1007/978-3-540-87700-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87699-1
Online ISBN: 978-3-540-87700-4
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