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Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity
In the paper, a finite-capacity queueing model is considered in which jobs arrive according to a Poisson process and are being served according to hyper-exponential service times. A system of equations for the time-sensitive queue-size distribution is established by applying the paradigm of embedded...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788344/ https://www.ncbi.nlm.nih.gov/pubmed/36560276 http://dx.doi.org/10.3390/s22249909 |
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author | Kempa, Wojciech M. Paprocka, Iwona |
author_facet | Kempa, Wojciech M. Paprocka, Iwona |
author_sort | Kempa, Wojciech M. |
collection | PubMed |
description | In the paper, a finite-capacity queueing model is considered in which jobs arrive according to a Poisson process and are being served according to hyper-exponential service times. A system of equations for the time-sensitive queue-size distribution is established by applying the paradigm of embedded Markov chain and total probability law. The solution of the corresponding system written for Laplace transforms is obtained via an algebraic approach in a compact form. Numerical illustration results are attached as well. |
format | Online Article Text |
id | pubmed-9788344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97883442022-12-24 Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity Kempa, Wojciech M. Paprocka, Iwona Sensors (Basel) Article In the paper, a finite-capacity queueing model is considered in which jobs arrive according to a Poisson process and are being served according to hyper-exponential service times. A system of equations for the time-sensitive queue-size distribution is established by applying the paradigm of embedded Markov chain and total probability law. The solution of the corresponding system written for Laplace transforms is obtained via an algebraic approach in a compact form. Numerical illustration results are attached as well. MDPI 2022-12-16 /pmc/articles/PMC9788344/ /pubmed/36560276 http://dx.doi.org/10.3390/s22249909 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kempa, Wojciech M. Paprocka, Iwona Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title | Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title_full | Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title_fullStr | Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title_full_unstemmed | Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title_short | Transient Behavior of a Queueing Model with Hyper-Exponentially Distributed Processing Times and Finite Buffer Capacity |
title_sort | transient behavior of a queueing model with hyper-exponentially distributed processing times and finite buffer capacity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788344/ https://www.ncbi.nlm.nih.gov/pubmed/36560276 http://dx.doi.org/10.3390/s22249909 |
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