| Informatics and Applications2023, Volume 17, Issue 2, pp 57-61ANALYSIS OF THE QUEUEING SYSTEMS WITH MIXED PRIORITIES
A. K. Bergovin
V. G. Ushakov
 AbstractA one-line queuing system with an infinite number of waiting places, an arbitrary distribution of service time, and Poisson incoming flows of customers is studied. Two models of mixed priorities are considered. In the first model, there is either preemptive repeat priority discipline between the customers of different flows or a head of the line priority discipline. In the second model - preemptive priority discipline either with loss or with repeat of a newly interrupted customer. By the method of additional components, a multidimensional random process is investigated, the components of which are the number of customers of each priority in the system and the time elapsed since the start of servicing the customer located on the device at time t. The distribution of the specified process in the nonstationary mode of the system is found.[+] References (3) 
Jaiswal, N. K. 1968. Priority queues. New York; London: Academic press. 240 p.
Matveev, V. F., and V. G. Ushakov. 1984. Sistemy massovogo obsluzhivaniya [Queueing systems]. Moscow:
M. V. Lomonosov Moscow State University Publs. 240 p.
Takagi, H. 1991. Queueing analysis: A foundation of performance evaluation. Amsterdam: North-Holland Elsevier. Vol. 1. Part 1. 487 p.
 [+] About this article
Title 
ANALYSIS OF THE QUEUEING SYSTEMS WITH MIXED PRIORITIES
 Journal
Informatics and Applications
2023, Volume 17, Issue 2, pp 57-61 Cover Date
2023-07-10  
 DOI
10.14357/19922264230208
 Print ISSN
1992-2264 
 Publisher
Institute of Informatics Problems, Russian Academy of Sciences
 Additional LinksKey words
head of the line; preemptive repeat; preemptive loss; one-line; queue length
 Authors 
A. K. Bergovin   and V. G. Ushakov  ,    Author Affiliations M. V. Lomonosov Moscow State University, 1-52 Leninskie Gory, GSP-1, Moscow 119991, Russian Federation 
     Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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