Interconnection of large scale unstructured P2P networks: Modeling and analysis

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Abstract

Interconnection of multiple P2P networks has emerged as a viable solution to increase system reliability and fault-tolerance as well as to increase resource availability. In this paper we consider interconnection of large scale unstructured P2P networks by means of special nodes (called Synapses) that are co-located in more than one overlay. Synapses act as trait d'union by forwarding a query to all the P2P networks they belong to. Modeling and analysis of the resulting interconnected system is crucial to design efficient and effective search algorithms and to control the cost of interconnection. To this end, we develop a generalized random graph based model that is validated against simulations and it is used to investigate the performance of search algorithms for different interconnection costs and to provide some insight in the characteristics of the interconnection of a large number of P2P networks. © 2013 Springer-Verlag.

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APA

Ciancaglini, V., Gaeta, R., Loti, R., & Liquori, L. (2013). Interconnection of large scale unstructured P2P networks: Modeling and analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7984 LNCS, pp. 183–197). https://doi.org/10.1007/978-3-642-39408-9_14

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