Optimization Methods and Control Theory
Research Article
Steady-state performance analysis of multiserver queueing models with redundancy
Alexander Sergeevich Rumyantsev, Diana Sergeevna Dolgaleva, Alexander Stanislavovich Golovin
Institute of Applied Mathematical Research KarRC of RAS, Petrozavodsk, Russiaar0@krc.karelia.ru |
Abstract. An approach to study of the stochastic models of distributed computing systems by means of the multiserver queueing models with redundancy is suggested. Perspectives and limitations of the approach, as well as possible future research directions are presented. (Linked article texts in Russian and in English).
Keywords: distributed computing systems, multiserver queueing systems, stochastic modeling, systems with redundancy
MSC-2020 60K30; 90B22, 65C30Acknowledgments: The authors are grateful to the referees for valuable comments. The study was supported by the Russian Science Foundation grant 21-71-10135
For citation: Alexander S. Rumyantsev, Diana S. Dolgaleva, Alexander S. Golovin. Steady-state performance analysis of multiserver queueing models with redundancy. Program Systems: Theory and Applications, 2023, 14:1, pp. 55–94. (In Russ., in Engl.). https://psta.psiras.ru/2023/1_55-94.
Full text of article (PDF): https://psta.psiras.ru/read/psta2023_1_55-94.pdf.
The article was submitted 06.12.2022; approved after reviewing 27.01.2023; accepted for publication 05.02.2023; published online 15.02.2023.