2000
DOI: 10.1017/s0021900200018192
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Sharp results on convergence rates for the distribution of GI/M/1/K queues as K tends to infinity

Abstract: In this paper, we investigate how fast the stationary distribution π (K) of an embedded Markov chain (time-stationary distribution q (K) of the GI/M/1/K queue converges to the stationary distribution π of the embedded Markov chain (time-stationary distribution q ) of the GI/M/1 queue as K tends to infinity. Simonot (1997) proved certain equalities. We obtain sharper results than these by finding limit values lim … Show more

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Cited by 9 publications
(22 citation statements)
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“…The case γ 1 = 1 and γ 2 < ∞ has been developed by Postnikov [65], Sect. 25. He established the following two Tauberian theorems.…”
Section: 4)mentioning
confidence: 99%
See 1 more Smart Citation
“…The case γ 1 = 1 and γ 2 < ∞ has been developed by Postnikov [65], Sect. 25. He established the following two Tauberian theorems.…”
Section: 4)mentioning
confidence: 99%
“…The analytic proofs given in these papers are much more difficult than those by application of Takács' theorem 1.1. We refer to Kim and Choi [48], Choi et al [27] and Simonot [70], where the readers can find the proofs by using the standard analytic techniques.…”
Section: Losses In the Gi/m/m/n Queuementioning
confidence: 99%
“…Tijms illustrated the method in many queueing models. Further illustrations are found in [5] and [6], for example. The remainder of this paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%
“…It belongs to the open interval (0,1) if λ < µ, and it is equal to 1 otherwise. In the recent papers Choi and Kim [8] and Choi et al [9] study the questions related to the asymptotic behavior of the sequence {π j } as j → ∞. Namely, they study asymptotic behavior of the loss probability p n , n → ∞, as well as obtain the convergence rate of the stationary distributions of the GI/M/1/n queueing system to those of the GI/M/1 queueing system as n → ∞.…”
Section: Introductionmentioning
confidence: 99%
“…Namely, they study asymptotic behavior of the loss probability p n , n → ∞, as well as obtain the convergence rate of the stationary distributions of the GI/M/1/n queueing system to those of the GI/M/1 queueing system as n → ∞. The analysis of [8] and [9] is based on the theory of analytic functions.…”
Section: Introductionmentioning
confidence: 99%