Asymptotic analysis of multiserver retrial queueing system with \(\pi\)-defeat of negative arrivals under heavy load
- Authors: Meloshnikova N.P.1, Fedorova E.A.1
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Affiliations:
- National Research Tomsk State University
- Issue: Vol 33, No 2 (2025)
- Pages: 144-156
- Section: Computer Science
- URL: https://ogarev-online.ru/2658-4670/article/view/309056
- DOI: https://doi.org/10.22363/2658-4670-2025-33-2-144-156
- EDN: https://elibrary.ru/BMHYOY
- ID: 309056
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Abstract
The paper studies a multiserver retrial queuing system with \(\pi\)-defeat as a mathematical model of cloud services. The arrival processes of “positive” calls are Poisson. The system has a finite number of servers and the service time for calls at the servers is exponentially distributed. When all servers are busy, calls entering the system transfer to an orbit, where they experience a random delay. After the delay, calls from the orbit attempt to access the service unit according to a multiple access policy. The system also receives a stream of negative calls. Negative calls do not require the service. An negative call “deletes” a random number of calls is the service unit. For the considered model, the Kolmogorov equations are written in the steady state. The method of asymptotic analysis under a heavy load condition is applied for deriving the stationary probability distribution of the number of calls in the orbit. The results of the numerical analysis are presented.
About the authors
Natalya P. Meloshnikova
National Research Tomsk State University
Email: meloshnikovana@gmail.com
ORCID iD: 0000-0002-8708-124X
Scopus Author ID: 58304893200
ResearcherId: MTF-1866-2025
PhD-student, Junior researcher of Laboratory of queueing theory and teletraffic theory
36 Lenin Ave, Tomsk, 634050, Russian FederationEkaterina A. Fedorova
National Research Tomsk State University
Author for correspondence.
Email: ekat_fedorova@mail.ru
ORCID iD: 0000-0001-8933-5322
Scopus Author ID: 56439120600
ResearcherId: E-3161-2017
PhD in Physical and Mathematical Sciences, Associate Professor of Department of Probability Theory and Mathematical Statistic
36 Lenin Ave, Tomsk, 634050, Russian FederationReferences
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