Asymptotic diffusion analysis of RQ system M/M/1 with unreliable server

The paper considers a single-line retrial queueing system with an unreliable server. Queuing systems are called unreliable if their servers may fail from time to time and require restoration (repair), only after which they can resume servicing customers. The input of the system is a simple Poisson flow of customers. The service time and uptime of the server are distributed exponentially. An incoming customer try to get service. The server can be free, busy or under repair. The customer is serviced immediately if the server is free. If it is busy or under repair, the customer goes into orbit. And after a random time it tries to get service again. The study is carried out by the method of asymptotically diffusion analysis under the condition of a large delay of requests in orbit. In this work, the transfer coefficient and diffusion coefficient were found and a diffusion approximation

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Publication Details

Journal
Discrete and Continuous Models and Applied Computational Science
Published
2024-12-15
DOI
https://doi.org/10.22363/2658-4670-2024-32-4-380-394
Primary Topic
Advanced Queuing Theory Analysis
Type
article
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article

Asymptotic diffusion analysis of RQ system M/M/1 with unreliable server

Discrete and Continuous Models and Applied Computational Science
Advanced Queuing Theory Analysis
article

Asymptotic diffusion analysis of RQ system M/M/1 with unreliable server

article en

Abstract

The paper considers a single-line retrial queueing system with an unreliable server. Queuing systems are called unreliable if their servers may fail from time to time and require restoration (repair), only after which they can resume servicing customers. The input of the system is a simple Poisson flow of customers. The service time and uptime of the server are distributed exponentially. An incoming customer try to get service. The server can be free, busy or under repair. The customer is serviced immediately if the server is free. If it is busy or under repair, the customer goes into orbit. And after a random time it tries to get service again. The study is carried out by the method of asymptotically diffusion analysis under the condition of a large delay of requests in orbit. In this work, the transfer coefficient and diffusion coefficient were found and a diffusion approximation

Discrete and Continuous Models and Applied Computational ScienceVol. 32(4)
National Research Tomsk State University (RU), Tomsk Polytechnic University (RU)
Openalex Percentile: Top 41%
Advanced Queuing Theory Analysis
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