scholarly journals The M/M/C queueing system in a random environment

2016 ◽  
Vol 436 (1) ◽  
pp. 556-567 ◽  
Author(s):  
Zaiming Liu ◽  
Senlin Yu
2007 ◽  
Vol 137 (12) ◽  
pp. 3904-3916 ◽  
Author(s):  
Che Soong Kim ◽  
Valentina Klimenok ◽  
Sang Cheon Lee ◽  
Alexander Dudin

2009 ◽  
Vol 36 (3) ◽  
pp. 674-697 ◽  
Author(s):  
Che Soong Kim ◽  
Alexander Dudin ◽  
Valentina Klimenok ◽  
Valentina Khramova

1996 ◽  
Vol 9 (2) ◽  
pp. 185-204 ◽  
Author(s):  
Alexander N. Dudin ◽  
Valentina I. Klimenok

In this paper the authors introduce systems in which customers are served by one active server and a group of passive servers. The calculation of response time for such systems is rendered by analyzing a special kind of queueing system in a synchronized random environment. For an embedded Markov chain, sufficient conditions for the existence of a stationary distribution are proved. A formula for the corresponding vector generating function is obtained. It is a matrix analog of the Pollaczek-Khinchin formula and is simultaneously a matrix functional equation. A method for solving this equation is proposed.


2010 ◽  
Vol 37 (7) ◽  
pp. 1228-1237 ◽  
Author(s):  
Che Soong Kim ◽  
Valentina Klimenok ◽  
Vilena Mushko ◽  
Alexander Dudin

2018 ◽  
Vol 52 (3) ◽  
pp. 903-922 ◽  
Author(s):  
Tao Jiang ◽  
Baogui Xin ◽  
Baoxian Chang ◽  
Liwei Liu

This paper studies a single server queueing model in a multi-phase random environment with server breakdowns and geometric abandonments, where server breakdowns only occur while the server is in operation. At a server breakdown instant (i.e., an abandonment opportunity epoch), all present customers adopt the so-called geometric abandonments, that is, the customers decide sequentially whether they will leave the system or not. In the meantime, the server abandons the service and a repair process starts immediately. After the server is repaired, the server resumes its service, and the system enters into the operative phaseiwith probabilityqi,i= 1, 2, …,d. Using probability generating functions and matrix geometric approach, we obtain the steady state distribution and various performance measures. In addition, some numerical examples are presented to show the impact of parameters on the performance measures.


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