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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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Contributor : Françoise Simonot-Lion <>
Submitted on : Friday, November 18, 2005 - 3:58:16 PM
Last modification on : Friday, February 26, 2021 - 3:21:57 AM
Long-term archiving on: : Friday, April 2, 2010 - 7:42:48 PM




Anatoly Manita, François Simonot. Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations. Lecture Notes in Computer Science, Springer, 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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