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 <...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Vladimir Vishnevsky, Valentina Klimenok, Alexander Sokolov, Andrey Larionov
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2021-12-01
Sarja:	Mathematics
Aiheet:	multi-server queueing system heterogeneous customers marked Markovian arrival process priorities loss probabilities machine learning
Linkit:	https://www.mdpi.com/2227-7390/9/24/3236
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