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Tail asymptotics of the queue size distribution in the M/M/m retrial queue

Authors
Kim, JerimKim, JeongsimKim, Bara
Issue Date
8월-2012
Publisher
ELSEVIER SCIENCE BV
Keywords
M/M/m retrial queue; Queue size distribution; Censored Markov process; Tail asymptotics; Karamata Tauberian theorem; Riemann-Lebesgue lemma
Citation
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, v.236, no.14, pp.3445 - 3460
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume
236
Number
14
Start Page
3445
End Page
3460
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/107763
DOI
10.1016/j.cam.2012.03.027
ISSN
0377-0427
Abstract
We consider an M/M/m retrial queue and investigate the tail asymptotics for the joint distribution of the queue size and the number of busy servers in the steady state. The stationary queue size distribution with the number of busy servers being fixed is asymptotically given by a geometric function multiplied by a power function. The decay rate of the geometric function is the offered load and independent of the number of busy servers, whereas the exponent of the power function depends on the number of busy servers. Numerical examples are presented to illustrate the result. (C) 2012 Elsevier B.V. All rights reserved.
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