SAGA 2005: Stochastic Algorithms: Foundations and Applications pp 26-37 | Cite as
Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations
Conference paper
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
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