Application of dynamic priorities for controlling the characteristics of a queuing system / S. V. Polyanskiy, Yu. Ya. Katsman
Уровень набора: (RuTPU)RU\TPU\network\3526, Journal of Physics: Conference SeriesЯзык: английский.Резюме или реферат: This paper considers the development and modification of an imitation model of a queuing system. The initial model uses the laws of control (discipline of expectation and service) with mixed priorities. The work investigates the model with three types of entities (absolute priority, relative priority and priority-free ones) in the regime of overload, i.e. a system with losses. Verification and validation of the created imitation model confirmed its adequateness and accuracy of received results. The application of dynamic priorities for changing the laws of model control substantially alters certain system characteristics. The creation of the model in MatLab Simulink environment with the use of SimEvents and Stateflow library modules allowed creating a fairly complex queuing system and obtain new interesting results..Примечания о наличии в документе библиографии/указателя: [References: 7 tit.].Тематика: электронный ресурс | труды учёных ТПУ | характеристики | массовое обслуживание | имитационные модели | приоритеты | верификация | валидация | MatLab/Simulink | SimEvents | Stateflow Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайнTitle screen
[References: 7 tit.]
This paper considers the development and modification of an imitation model of a queuing system. The initial model uses the laws of control (discipline of expectation and service) with mixed priorities. The work investigates the model with three types of entities (absolute priority, relative priority and priority-free ones) in the regime of overload, i.e. a system with losses. Verification and validation of the created imitation model confirmed its adequateness and accuracy of received results. The application of dynamic priorities for changing the laws of model control substantially alters certain system characteristics. The creation of the model in MatLab Simulink environment with the use of SimEvents and Stateflow library modules allowed creating a fairly complex queuing system and obtain new interesting results.
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