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Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations

  • Anatoli Manita
  • François Simonot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3777)

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 of the system have a cluster behaviour. To attack this problem we combine two methods: stochastic comparison and Foster–Lyapunov functions.

Keywords

Markov Chain Lyapunov Function Tangent Line Cascade Model Queueing Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Anatoli Manita
    • 1
  • François Simonot
    • 2
  1. 1.Faculty of Mathematics and MechanicsMoscow State UniversityMoscowRussia
  2. 2.IECNUniversité Henri Poincaré Nancy I, EsstinVandoeuvreFrance

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