Analysis of multi-server queue with self-sustained servers

A novel multi-server vacation queuing model is considered. The distinguishing feature of the model, compared to the standard queues, is the self-sufficiency of servers. A server can terminate service and go on vacation independently of the system manager and the overall situation in the system. The system manager can make decisions whether to allow the server to start work after vacation completion and when to try returning some server from a vacation to process customers. The arrival flow is defined by a general batch Markov arrival process. The problem of optimal choice of the total number of servers and the thresholds defining decisions of the manager arises. To solve this problem, the behavior of the system is described by the three-dimensional Markov chain with the special block structure of the generator. Conditions for the ergodicity of this chain are derived, the problem of computation of the steady-state distribution of the chain is discussed. Expressions for the key performance indicators of the system in terms of the distribution of the chain states are derived. An illustrative numerical result is presented. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Authors
Journal
Publisher
MDPI AG
Number of issue
17
Language
English
Status
Published
Number
2134
Volume
9
Year
2021
Organizations
  • 1 Department of Applied Mathematics and Computer Science, Belarusian State University, 4, Nezavisimosti Ave, Minsk, 220030, Belarus
  • 2 Applied Mathematics and Communications Technology Institute, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
Keywords
Multi-dimensional Markov chains; Multi-server vacation queuing model; Optimization; Self-sufficient servers
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76669/
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Blinova E., Samishina E., Deryabina O., Blinov D., Roshchin D., Shich E., Tumutolova O., Fedoseykin I., Epishkina A., Barakat H., Kaprin A., Zhandarov K., Perepechin D., Merinov D., Brykin G., Arutiunian K., Serebrianyi S., Mirontsev A., Kozdoba A.
International Journal of Molecular Sciences. MDPI AG. Vol. 22. 2021.