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Performance Evaluation of the Priority Multi-Server System <i>MMAP/PH/M/N</i> Using Machine Learning Methods

In this paper, we present the results of a study of a priority multi-server queuing system with heterogeneous customers arriving according to a marked Markovian arrival process (<i>MMAP</i>), phase-type service times (<i>PH</i>), and a queue with finite capacity. Priority traffic classes differ in <...

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Principais autores: Vladimir Vishnevsky, Valentina Klimenok, Alexander Sokolov, Andrey Larionov
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2021-12-01
coleção:Mathematics
Assuntos:
multi-server queueing system
heterogeneous customers
marked Markovian arrival process
priorities
loss probabilities
machine learning
Acesso em linha:https://www.mdpi.com/2227-7390/9/24/3236
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