Generalization of Formulas for Queue Length Moments under Nonordinary Poissonian Arrivals for Batch Queues in Telecommunication Systems
- Autores: Likhttsinder B.Y.1, Privalov A.Y.2,1
- 
							Afiliações: 
							- Povolzhskiy State University of Telecommunications and Informatics
- Korolyov Samara National Research University
 
- Edição: Volume 59, Nº 4 (2023)
- Páginas: 32-37
- Seção: Communication Network Theory
- URL: https://rjpbr.com/0555-2923/article/view/667563
- DOI: https://doi.org/10.31857/S0555292323040046
- EDN: https://elibrary.ru/YRRRNC
- ID: 667563
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		                                					Resumo
We propose an approach for generalization of formulas previously obtained by the authors for the first and second queue length moments in a queueing system with a nonordinary Poissonian arrival flow, single server, and constant service time to the case of a variable service time. The service time is assumed to be a random variable with a finite set of values. This model is adequate for a vast class of batch transmission systems, since the batch transmission time in real-world systems can take only finitely many values.
Sobre autores
B. Likhttsinder
Povolzhskiy State University of Telecommunications and Informatics
														Email: b.lihtcinder@psuti.ru
				                					                																			                												                								Samara, Russia						
A. Privalov
Korolyov Samara National Research University; Povolzhskiy State University of Telecommunications and Informatics
							Autor responsável pela correspondência
							Email: privalov1967@gmail.com
				                					                																			                												                								Samara, Russia; Samara, Russia						
Bibliografia
- Лихтциндер Б.Я., Привалов А.Ю., Моисеев В.И. Неординарные пуассоновские модели трафика мультисервисных сетей // Пробл. передачи информ. 2023. Т. 59. № 1. С. 71–79. https://www.mathnet.ru/ppi2392
- Лихтциндер Б.Я. Трафик мультисервисных сетей доступа (интервальный анализ и проектирование). М.: Науч.-тех. изд-во «Горячая линия – Телеком», 2019. 3. Yunhua R. Evaluation and Estimation of Second-Order Self-similar Network Traffic // Comput. Commun. 2004. V. 27. № 9. P. 898–904. https://doi.org/10.1016/j.comcom.2004.02.003
- Privalov A.Yu., Tsarev A. Analysis and Simulation of WAN Traffic by Self-similar Traffic Model with OMNET // Proc. 10th Int. Wireless Communications and Mobile Computing Conf. (IWCMC’2014). Nicosia, Cyprus. Aug. 4–8, 2014. P. 629–634. https://doi.org/10.1109/IWCMC.2014.6906429
- Mill´an Naveas G., San Juan Urrutia E., Vargas Guzm´an M. A Simple Multifractal Model for Self-similar Traffic Flows in High-Speed Computer Networks // Comp. y Sist. 2019. V. 23. № 4. P. 1517–1521. https://doi.org/10.13053/cys-23-4-2831
- Вишневский В.М., Дудин А.Н. Системы массового обслуживания с коррелированными входными потоками и их применение для моделирования телекоммуникационных сетей // Автомат. и телемех. 2017. № 8. С. 3–59. https://www.mathnet.ru/rus/at14562
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