Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/11000/30971

New RED-Type TCP-AQM Algorithms Based on Beta Distribution Drop Functions

Título :
New RED-Type TCP-AQM Algorithms Based on Beta Distribution Drop Functions
Autor :
Giménez, Angel
Murcia, Miguel A.
Amigó, José M.
Martinez Bonastre, Oscar  
Valero, José
Editor :
MDPI
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2022
URI :
https://hdl.handle.net/11000/30971
Resumen :
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.
Palabras clave/Materias:
congestion control
active queue management
random early detection
beta distribution
stability
Área de conocimiento :
CDU: Ciencias puras y naturales
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.3390/app122111176
Aparece en las colecciones:
Artículos Estadística, Matemáticas e Informática



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.