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Journal Articles Lecture Notes in Computer Science Year : 2005

Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations

Abstract

We consider a cascade model of N different processors performing a distributed parallel simulation. The main goal of the study is to show that the long-time dynamics os the system has a cluster behaviour. To attack this problem we combine two methods: stochastic comparison and Foster-Lyapunov functions.

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Other [cs.OH]
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Dates and versions

inria-00000783 , version 1 (18-11-2005)

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Anatoly Manita, François Simonot. Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations. Lecture Notes in Computer Science, 2005, Stochastic Algorithms: Foundations and Applications, Lecture Notes in Computer Science (3777), pp.26-37. ⟨10.1007/11571155_3⟩. ⟨inria-00000783⟩
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