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Transient analysis of the Erlang A model
We consider the Erlang A model, or [Formula: see text] queue, with Poisson arrivals, exponential service times, and m parallel servers, and the property that waiting customers abandon the queue after an exponential time. The queue length process is in this case a birth–death process, for which we ob...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4804771/ https://www.ncbi.nlm.nih.gov/pubmed/27069412 http://dx.doi.org/10.1007/s00186-015-0498-9 |
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author | Knessl, Charles van Leeuwaarden, Johan S. H. |
author_facet | Knessl, Charles van Leeuwaarden, Johan S. H. |
author_sort | Knessl, Charles |
collection | PubMed |
description | We consider the Erlang A model, or [Formula: see text] queue, with Poisson arrivals, exponential service times, and m parallel servers, and the property that waiting customers abandon the queue after an exponential time. The queue length process is in this case a birth–death process, for which we obtain explicit expressions for the Laplace transforms of the time-dependent distribution and the first passage time. These two transient characteristics were generally presumed to be intractable. Solving for the Laplace transforms involves using Green’s functions and contour integrals related to hypergeometric functions. Our results are specialized to the [Formula: see text] queue, the M / M / m queue, and the M / M / m / m loss model. We also obtain some corresponding results for diffusion approximations to these models. |
format | Online Article Text |
id | pubmed-4804771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-48047712016-04-09 Transient analysis of the Erlang A model Knessl, Charles van Leeuwaarden, Johan S. H. Math Methods Oper Res (Heidelb) Article We consider the Erlang A model, or [Formula: see text] queue, with Poisson arrivals, exponential service times, and m parallel servers, and the property that waiting customers abandon the queue after an exponential time. The queue length process is in this case a birth–death process, for which we obtain explicit expressions for the Laplace transforms of the time-dependent distribution and the first passage time. These two transient characteristics were generally presumed to be intractable. Solving for the Laplace transforms involves using Green’s functions and contour integrals related to hypergeometric functions. Our results are specialized to the [Formula: see text] queue, the M / M / m queue, and the M / M / m / m loss model. We also obtain some corresponding results for diffusion approximations to these models. Springer Berlin Heidelberg 2015-08-21 2015 /pmc/articles/PMC4804771/ /pubmed/27069412 http://dx.doi.org/10.1007/s00186-015-0498-9 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Knessl, Charles van Leeuwaarden, Johan S. H. Transient analysis of the Erlang A model |
title | Transient analysis of the Erlang A model |
title_full | Transient analysis of the Erlang A model |
title_fullStr | Transient analysis of the Erlang A model |
title_full_unstemmed | Transient analysis of the Erlang A model |
title_short | Transient analysis of the Erlang A model |
title_sort | transient analysis of the erlang a model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4804771/ https://www.ncbi.nlm.nih.gov/pubmed/27069412 http://dx.doi.org/10.1007/s00186-015-0498-9 |
work_keys_str_mv | AT knesslcharles transientanalysisoftheerlangamodel AT vanleeuwaardenjohansh transientanalysisoftheerlangamodel |