1996
DOI: 10.1016/0377-2217(95)00291-x
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Analysis of an open tandem queueing network with population constraint and constant service times 1

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1997
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Cited by 13 publications
(5 citation statements)
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“…To obtain the probability generating function (PGF) of the queue size at an arbitrary time epoch, the following probability generating functions are defined Let P (z) be the probability generating function of the queue size at an arbitrary time epoch. Then (15) By multiplying the equations from ( 9)-( 14) with suitable powers of 𝑧 𝑛 and summing over n, then by using (15), we get…”
Section: Probability Generating Function (Pgf)mentioning
confidence: 99%
See 1 more Smart Citation
“…To obtain the probability generating function (PGF) of the queue size at an arbitrary time epoch, the following probability generating functions are defined Let P (z) be the probability generating function of the queue size at an arbitrary time epoch. Then (15) By multiplying the equations from ( 9)-( 14) with suitable powers of 𝑧 𝑛 and summing over n, then by using (15), we get…”
Section: Probability Generating Function (Pgf)mentioning
confidence: 99%
“…Young Rhee and Harry Perros [15] analyzed on an open tandem queueing network with a population constraint and constant service times. The researchers proposed a transformation technique that allows the queueing network to be simplified into a two-node queueing network.…”
Section: Introductionmentioning
confidence: 99%
“…For the two partial derivative terms in (17), the partial derivatives are performed and then the series expansion of the CGF given by (18) is inserted where appropriate. Specifically, for the first partial derivative,…”
Section: Ordinary Differential Equationsmentioning
confidence: 99%
“…The models he considers may be time-as well as state-dependent. Rhee and Perros [17] develop bounds on the waiting time of customers in a tandem queueing network operating in steady state. The network they consider is subject to a state constraint described through a semaphore queue.…”
Section: Introductionmentioning
confidence: 99%
“…The proof is given in Rhee and Perros[13].For a queueing network with constant service times, the number of tokens in the network, i.e. the size of the window, may influence where customers wait internally in the network.…”
mentioning
confidence: 99%