DocumentCode :
1823256
Title :
On stochastic recursive equations and infinite server queues
Author :
Altman, Eitan
Author_Institution :
INRIA, France
Volume :
2
fYear :
2005
fDate :
13-17 March 2005
Firstpage :
1295
Abstract :
The purpose of this paper is to investigate some performance measures of the discrete time infinite server queue under a general arrival process. We assume, more precisely, that at each time unit a batch with a random size may arrive, where the sequence of batch sizes need not be i.i.d. All we request is that it would be stationary ergodic and that the service duration has a phase type distribution. Our goal is to obtain explicit expressions for the first two moments of number of customers in steady state. We obtain this by computing the first two moments of some generic stochastic recursive equations that our system satisfies. We then show that this class of recursive equations allow to solve not only the G/PH/∞ queue but also a network of such queues. We finally investigate the process of residual activity time in a G/G/∞ queue under general stationary ergodic assumptions, obtain the unique stationary solution and establish coupling convergence to it from any initial state.
Keywords :
convergence; correlation theory; discrete time systems; network servers; queueing theory; stochastic processes; G-G-∞ queue; G-PH-∞ queue; arrival process; coupling convergence; discrete time infinite server queue; phase type distribution; service duration; stochastic recursive equation; unique stationary solution; Distributed computing; Equations; Network servers; Queueing analysis; Steady-state; Stochastic processes; Stochastic systems; Telecommunication traffic; Time measurement; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE
ISSN :
0743-166X
Print_ISBN :
0-7803-8968-9
Type :
conf
DOI :
10.1109/INFCOM.2005.1498355
Filename :
1498355
Link To Document :
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