Perfect sampling for closed queueing networks

Anne Bouillard 1, 2, * Ana Busic 1, 2 Christelle Rovetta 1, 2
* Corresponding author
1 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : In this paper we investigate coupling from the past (CFTP) algorithms for closed queueing networks. The stationary distribution has a product form only in a very limited number of particular cases when queue capacity is finite, and numerical algorithms are intractable due to the cardinality of the state space. Moreover, closed networks do not exhibit any monotonic property enabling efficient CFTP. We derive a bounding chain for the CFTP algorithm for closed queueing networks. This bounding chain is based on a compact representation of sets of states that enables exact sampling from the stationary distribution without considering all initial conditions in the CFTP. The coupling time of the bounding chain is almost surely finite, and numerical experiments show that it is close to the coupling time of the exact chain.
Document type :
Journal articles
Complete list of metadatas
Contributor : Christelle Rovetta <>
Submitted on : Monday, September 22, 2014 - 1:44:01 PM
Last modification on : Thursday, October 17, 2019 - 12:36:04 PM



Anne Bouillard, Ana Busic, Christelle Rovetta. Perfect sampling for closed queueing networks. Performance Evaluation, Elsevier, 2014, 79, pp.146-159. ⟨10.1016/j.peva.2014.07.010⟩. ⟨hal-01066809⟩



Record views