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In this paper we explore the practical possibilities of using formal methods to analyze gossiping networks. In particular, we use μCRL and Groove to model the peer sampling service, and analyze it through a series of model transformations to CTMCs and finally MRMs. Our tools compute the expected value of various network quality indicators, such as average path lengths, over all possible system runs. Both transient and steady state analysis are supported. We compare our results with the simulation and emulation results found in 10.

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Applying formal methods to gossiping networks with mCRL and groove

Crouzen, Pepijn; van de Pol, Jaco; Rensink, Arend
ACM SIGMETRICS Performance Evaluation Review , Volume 36 (3)
Association for Computing MachineryNov 30, 2008

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