1984
DOI: 10.1145/2422.322419
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The Product Form for Sojourn Time Distributions in Cyclic Exponential Queues

Abstract: Consider a closed cyclic queuing system consisting of M exponential queues. The LaplaceStieltjes transform of the joint d~stribution of the consecutive sojourn times of a customer at the M queues is determined and shown to have a product form. The proof is based on a reverslbdity argument.

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Cited by 55 publications
(18 citation statements)
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“…Furthermore, we are interested in the customer's cycle time distribution. These distributions are known, given in the transform domain by their respective Laplace-Stieltjes transforms (LSTs) [4], [18]. We transform these formulae in a way that allows us to prove weak convergence results for the customer's travel-time behaviour when the bottleneck dominates the travel times.…”
Section: H Daduna Et Almentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, we are interested in the customer's cycle time distribution. These distributions are known, given in the transform domain by their respective Laplace-Stieltjes transforms (LSTs) [4], [18]. We transform these formulae in a way that allows us to prove weak convergence results for the customer's travel-time behaviour when the bottleneck dominates the travel times.…”
Section: H Daduna Et Almentioning
confidence: 99%
“…The starting instants of the TC's cycles are his successive entrance times into station Q [1]. The limiting distribution of the vector of the TC's successive sojourn times during his cycles is determined by the LST (see [4,Theorem 1]): .1)) is the steady-state probability that at the arrival instants of the TC at Q [1] there are n 1 further customers present at node Q [1] (without counting the TC himself), and n j customers at nodes…”
Section: Closed Cycle With M Stationsmentioning
confidence: 99%
“…1 with state independent service rates, see Ref. 7 . As a by-product Boxma, Kelly, and Konheim showed that in steady state each pair of local sojourn times within a fixed cycle for a customer traversing the queues is negatively correlated.…”
Section: Na Of Sojourn Times In Closed Network: Cyclic Pathsmentioning
confidence: 99%
“…4, with one exception: all waiting rooms are infinite. In [3] exact results from [4] are used to analyse the influence of the "slowest server" (the server with largest mean service time) on cycle timeand sojourn time distributions. Of particular interest to us is the result for the mean cycle time,…”
Section: Motivation Vf the Approximation Assumptionmentioning
confidence: 99%