Performance Analysis of a Discrete-Time Queue with Working Breakdowns and Searching for the Optimum Service Rate in Working Breakdown Period

Shaojun LAN, Yinghui TANG

Journal of Systems Science and Information ›› 2017, Vol. 5 ›› Issue (2) : 176-192.

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Journal of Systems Science and Information ›› 2017, Vol. 5 ›› Issue (2) : 176-192. DOI: 10.21078/JSSI-2017-176-17
Article

Performance Analysis of a Discrete-Time Queue with Working Breakdowns and Searching for the Optimum Service Rate in Working Breakdown Period

  • Shaojun LAN1,2, Yinghui TANG3
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Abstract

This paper deals with a discrete-time Geo/Geo/1 queueing system with working breakdowns in which customers arrive at the system in variable input rates according to the states of the server. The server may be subject to breakdowns at random when it is in operation. As soon as the server fails, a repair process immediately begins. During the repair period, the defective server still provides service for the waiting customers at a lower service rate rather than completely stopping service. We analyze the stability condition for the considered system. Using the probability generating function technique, we obtain the probability generating function of the steady-state queue size distribution. Also, various important performance measures are derived explicitly. Furthermore, some numerical results are provided to carry out the sensitivity analysis so as to illustrate the effect of different parameters on the system performance measures. Finally, an operating cost function is formulated to model a computer system and the parabolic method is employed to numerically find the optimum service rate in working breakdown period.

Key words

discrete-time queue / working breakdowns / different arrival rates / performance measures / optimum service rate

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Shaojun LAN, Yinghui TANG. Performance Analysis of a Discrete-Time Queue with Working Breakdowns and Searching for the Optimum Service Rate in Working Breakdown Period. Journal of Systems Science and Information, 2017, 5(2): 176-192 https://doi.org/10.21078/JSSI-2017-176-17

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Funding

Supported by the National Natural Science Foundation of China (71571127), the Training Fund Program of Excellent Paper of Sichuan Normal University ([2016]4-1)

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