Access the full text.
Sign up today, get DeepDyve free for 14 days.
V. Ramaswami (1980)
The N/G/1 queue and its detailed analysisAdvances in Applied Probability, 12
B.Q. Chen (1988)
Ergodicity of the Queueing Model in SeaportJ. Engin. Math., 5
Xu Guanghui, He Qiming, Liu Xisuo (1993)
Matched queueing systems with a double inputActa Mathematicae Applicatae Sinica, 9
M. Neuts (1971)
A queue subject to extraneous phase changesAdvances in Applied Probability, 3
G. Latouche (1981)
Queues with paired customersJournal of Applied Probability, 18
M. Neuts (1976)
Moment formulas for the Markov renewal branching processAdvances in Applied Probability, 8
G.H. Hsu, Q.M. He, X.S. Liu (1990)
The Stationary Behaviour of Matched Queueing SystemsActa Math. Appl. Sinica, 13
M.F. Neuts (1971)
A Queue Subject to Extraneous Phase Type ChangesAdv. Appl. Prob., 3
M. Neuts (1986)
A new informative embedded Markov renewal process for the PH/G/1 queueAdvances in Applied Probability, 18
M. Neuts (1981)
Matrix-Geometric Solutions in Stochastic Models
V. Ramaswami (1988)
A stable recursion for the steady state vector in markov chains of m/g/1 typeStochastic Models, 4
In this paper, we study the matched queueing system, MoPH/G/1, where the type-I input is a Poisson process, the type-II input is a PH renewal process, and the service times are i.i.d. random variables. A necessary and sufficient condition for the stationariness of the system is given. The expectations of the length of the non-idle period and the number of customers served in a non-idle period are obtained.
Acta Mathematicae Applicatae Sinica – Springer Journals
Published: Jul 13, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.