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A functional central limit theorem for the M/GI/infinity queue

Decreusefond, Laurent; Moyal, Pascal (2008), A functional central limit theorem for the M/GI/infinity queue, The Annals of Applied Probability, 18, 6, p. 2156-2178. http://dx.doi.org/10.1214/08-AAP518

Type
Article accepté pour publication ou publié
External document link
http://fr.arxiv.org/abs/math/0608258
Date
2008
Journal name
The Annals of Applied Probability
Volume
18
Number
6
Publisher
Institute of Mathematical statistics
Pages
2156-2178
Publication identifier
http://dx.doi.org/10.1214/08-AAP518
Metadata
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Author(s)
Decreusefond, Laurent cc
Moyal, Pascal
Abstract (EN)
In this paper, we present a functional fluid limit theorem and a functional central limit theorem for a queue with an infinity of servers M/GI/$\infty$. The system is represented by a point-measure valued process keeping track of the remaining processing times of the customers in service. The convergence in law of a sequence of such processes is proved by compactness-uniqueness methods, and the deterministic fluid limit is the solution of an integrated equation in the space $\S^{\prime}$ of tempered distributions. We then establish the corresponding central limit theorem, i.e. the approximation of the normalized error process by a $\S^{\prime}$-valued diffusion.
Subjects / Keywords
queueing theory; pure delay system; central limit theorem; fluid limit; Measure-valued Markov process

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