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Non-Stationary Characteristics of AQM Based on the Queue Length

We performed a non-stationary analysis of a class of buffer management schemes for TCP/IP networks, in which the arriving packets were rejected randomly, with probability depending on the queue length. In particular, we derived formulas for the packet waiting time (queuing delay) and the intensity o...

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Detalles Bibliográficos
Autor principal: Chydzinski, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824514/
https://www.ncbi.nlm.nih.gov/pubmed/36617082
http://dx.doi.org/10.3390/s23010485
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author Chydzinski, Andrzej
author_facet Chydzinski, Andrzej
author_sort Chydzinski, Andrzej
collection PubMed
description We performed a non-stationary analysis of a class of buffer management schemes for TCP/IP networks, in which the arriving packets were rejected randomly, with probability depending on the queue length. In particular, we derived formulas for the packet waiting time (queuing delay) and the intensity of packet losses as functions of time. These results allow us to observe how the evolution of the waiting time and losses depend on initial conditions (e.g., the full buffer) and system parameters (e.g., dropping probabilities, load, packet size distribution). As side results, the stationary waiting time and packet loss probability were obtained. Numerical examples demonstrate applicability of the theoretical results.
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spelling pubmed-98245142023-01-08 Non-Stationary Characteristics of AQM Based on the Queue Length Chydzinski, Andrzej Sensors (Basel) Article We performed a non-stationary analysis of a class of buffer management schemes for TCP/IP networks, in which the arriving packets were rejected randomly, with probability depending on the queue length. In particular, we derived formulas for the packet waiting time (queuing delay) and the intensity of packet losses as functions of time. These results allow us to observe how the evolution of the waiting time and losses depend on initial conditions (e.g., the full buffer) and system parameters (e.g., dropping probabilities, load, packet size distribution). As side results, the stationary waiting time and packet loss probability were obtained. Numerical examples demonstrate applicability of the theoretical results. MDPI 2023-01-02 /pmc/articles/PMC9824514/ /pubmed/36617082 http://dx.doi.org/10.3390/s23010485 Text en © 2023 by the author. 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
Non-Stationary Characteristics of AQM Based on the Queue Length
title Non-Stationary Characteristics of AQM Based on the Queue Length
title_full Non-Stationary Characteristics of AQM Based on the Queue Length
title_fullStr Non-Stationary Characteristics of AQM Based on the Queue Length
title_full_unstemmed Non-Stationary Characteristics of AQM Based on the Queue Length
title_short Non-Stationary Characteristics of AQM Based on the Queue Length
title_sort non-stationary characteristics of aqm based on the queue length
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824514/
https://www.ncbi.nlm.nih.gov/pubmed/36617082
http://dx.doi.org/10.3390/s23010485
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