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.

Interconnection of large scale unstructured P2P networks: modeling and analysis

GAETA, Rossano;LOTI, RICCARDO;
2013-01-01

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
20th International Conference on Analytical & Stochastic Modelling Techniques & Applications (ASMTA 2013)
Ghent, Belgium
8-10 Luglio 2013
Proceedings of the 20th International Conference on Analytical & Stochastic Modelling Techniques & Applications (ASMTA 2013)
Springer
7984
183
197
978-3-642-39407-2
http://link.springer.com/chapter/10.1007/978-3-642-39408-9_14
V. Ciancaglini; R. Gaeta; R. Loti; L. Liquori
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/139226
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