Please use this identifier to cite or link to this item:
https://hdl.handle.net/11000/30971
New RED-Type TCP-AQM Algorithms Based on Beta Distribution Drop Functions
Title: New RED-Type TCP-AQM Algorithms Based on Beta Distribution Drop Functions |
Authors: Giménez, Angel Murcia, Miguel A. AMIGO, JOSE M. Martinez Bonastre, Oscar Valero, José |
Editor: MDPI |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2022 |
URI: https://hdl.handle.net/11000/30971 |
Abstract:
In recent years, Active Queue Management (AQM) mechanisms to improve the performance of TCP/IP networks have acquired a relevant role. In this paper, we present a simple and
robust RED-type algorithm together with a couple of dynamical variants with the ability to adapt
to the specific characteristics of different network environments, as well as to the user’s needs. We
first present a basic version called Beta RED (BetaRED), where the parameters can be tuned according to the specific network conditions. The aim is to introduce control parameters that are easy
to interpret and provide a good performance over a wide range of values. Secondly, BetaRED is
used as a framework to design two dynamic algorithms, which we will call Adaptive Beta RED
(ABetaRED) and Dynamic Beta RED (DBetaRED). In those new algorithms, certain parameters are
dynamically adjusted so that the queue length remains stable around a predetermined reference value
and according to changing network traffic conditions. Finally, we present a battery of simulations
using the Network Simulator 3 (ns-3) software with a two-fold objective: to guide the user on how
to adjust the parameters of the BetaRED mechanism, and to show a performance comparison of
ABetaRED and DBetaRED with other representative algorithms that pursue a similar objective.
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Keywords/Subjects: congestion control active queue management random early detection beta distribution stability |
Knowledge area: CDU: Ciencias puras y naturales |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI: https://doi.org/10.3390/app122111176 |
Appears in Collections: Artículos Estadística, Matemáticas e Informática
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