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Large Deviations for Polling Systems


In this paper, we prove a sample path large deviation principle for a rescaled process n^-1Q_{nt}, where Q_t represents the joint number of clients at time t in a polling system with N nodes, one server and Markovian routing. Our main goal is to identify the rate function. We introduce a so called empirical generator consisting of Q_t and of two empirical measures associated with S_t, the position of the server at time t. The analysis relies on a suitable change of measure and on a representation of fluid limits for polling systems.
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inria-00072762 , version 1 (24-05-2006)


  • HAL Id : inria-00072762 , version 1


Franck Delcoigne, Arnaud de La Fortelle. Large Deviations for Polling Systems. [Research Report] RR-3892, INRIA. 2000. ⟨inria-00072762⟩
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