Application of machine learning methods to solving problems of queuing theory
V Vishnevsky, AV Gorbunova - International Conference on Information …, 2021 - Springer
This review is the first to propose the systematic presentation of a new approach to the study
of queuing systems and networks. The concept of the new approach is based on a …
of queuing systems and networks. The concept of the new approach is based on a …
Response time estimate for a fork-join system with Pareto distributed service time as a model of a cloud computing system using neural networks
AV Gorbunova, AV Lebedev - International Conference on Distributed …, 2021 - Springer
A cloud computing system that receives complex user tasks involving several subtasks is
studied from the point of view of the response time. In order to reduce the service time, the …
studied from the point of view of the response time. In order to reduce the service time, the …
Evaluation of the performance parameters of a closed queuing network using artificial neural networks
AV Gorbunova, V Vishnevsky - … 2021, Moscow, Russia, September 20–24 …, 2021 - Springer
The article presents a novel approach to solving complex problems of queuing theory in
general and to the analysis of closed queuing networks, in particular. The main idea is to …
general and to the analysis of closed queuing networks, in particular. The main idea is to …
On Little's formula in multiphase queues
S Minkevičius, I Katin, J Katina, I Vinogradova-Zinkevič - Mathematics, 2021 - mdpi.com
The structure of this work in the field of queuing theory consists of two stages. The first stage
presents Little's Law in Multiphase Systems (MSs). To obtain this result, the Strong Law of …
presents Little's Law in Multiphase Systems (MSs). To obtain this result, the Strong Law of …
Investigation of Tandem Queuing Systems Using Machine Learning Methods
VM Vishnevsky, AA Larionov, AA Mukhtarov… - Control …, 2024 - journals.rcsi.science
This paper considers tandem queuing systems with limited buffer sizes in each phase. The
system handles an incoming correlated MAP flow and the service time obeys a PH …
system handles an incoming correlated MAP flow and the service time obeys a PH …
Исследование многофазных систем массового обслуживания с помощью методов машинного обучения
ВМ Вишневский, АА Ларионов, АА Мухтаров… - Проблемы …, 2024 - mathnet.ru
Рассматривается многофазная система массового обслуживания с входящим
коррелированным МАР-потоком, РН-распределением времени обслуживания и …
коррелированным МАР-потоком, РН-распределением времени обслуживания и …
Применение методов машинного обучения к решению задач теории массового обслуживания
ВМ Вишневский, АВ Горбунова - Информационные технологии и …, 2021 - mathnet.ru
В работе впервые представлено систематизированное изложение нового метода
исследования систем массового обслуживания (СМО) с использованием алгоритмов …
исследования систем массового обслуживания (СМО) с использованием алгоритмов …
[PDF][PDF] Analysis of the Performance of IoT Networks in Acoustic Environment by using LZW Data Compression Technique
The Internet of Things (IoT) has experienced phenomenal growth, opening up a wide range
of applications in many settings. Due to the properties of sound propagation, IoT networks …
of applications in many settings. Due to the properties of sound propagation, IoT networks …
[PDF][PDF] On Little's Formula in Multiphase Queues. Mathematics 2021, 9, 2282
S Minkevicius, I Katin, J Katina, I Vinogradova-Zinkevic - 2021 - academia.edu
The structure of this work in the field of queuing theory consists of two stages. The first stage
presents Little's Law in Multiphase Systems (MSs). To obtain this result, the Strong Law of …
presents Little's Law in Multiphase Systems (MSs). To obtain this result, the Strong Law of …