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On the Influence of AQM on Serialization of Packet Losses
We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961450/ https://www.ncbi.nlm.nih.gov/pubmed/36850800 http://dx.doi.org/10.3390/s23042197 |
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author | Chydzinski, Andrzej Adamczyk, Blazej |
author_facet | Chydzinski, Andrzej Adamczyk, Blazej |
author_sort | Chydzinski, Andrzej |
collection | PubMed |
description | We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far from zero in packet networks. The main contribution is a theorem on the burst ratio parameter, describing the serialization of losses, proven for an arbitrary function assigning drop probabilities to queue sizes. In numerical examples, we show the impact of the autocorrelation strength, drop probability function, and load of the link, on the serialization of losses. |
format | Online Article Text |
id | pubmed-9961450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99614502023-02-26 On the Influence of AQM on Serialization of Packet Losses Chydzinski, Andrzej Adamczyk, Blazej Sensors (Basel) Article We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far from zero in packet networks. The main contribution is a theorem on the burst ratio parameter, describing the serialization of losses, proven for an arbitrary function assigning drop probabilities to queue sizes. In numerical examples, we show the impact of the autocorrelation strength, drop probability function, and load of the link, on the serialization of losses. MDPI 2023-02-15 /pmc/articles/PMC9961450/ /pubmed/36850800 http://dx.doi.org/10.3390/s23042197 Text en © 2023 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 Chydzinski, Andrzej Adamczyk, Blazej On the Influence of AQM on Serialization of Packet Losses |
title | On the Influence of AQM on Serialization of Packet Losses |
title_full | On the Influence of AQM on Serialization of Packet Losses |
title_fullStr | On the Influence of AQM on Serialization of Packet Losses |
title_full_unstemmed | On the Influence of AQM on Serialization of Packet Losses |
title_short | On the Influence of AQM on Serialization of Packet Losses |
title_sort | on the influence of aqm on serialization of packet losses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961450/ https://www.ncbi.nlm.nih.gov/pubmed/36850800 http://dx.doi.org/10.3390/s23042197 |
work_keys_str_mv | AT chydzinskiandrzej ontheinfluenceofaqmonserializationofpacketlosses AT adamczykblazej ontheinfluenceofaqmonserializationofpacketlosses |