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Bifurcation analysis for the Internet congestions


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Título :
Bifurcation analysis for the Internet congestions
Autor :
Duran Ballester, Guillem  
Valero, José  
AMIGO, JOSE M.  
Giménez, Ángel
Martinez Bonastre, Oscar  
Editor :
IEEE Xplore
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2019
URI :
https://hdl.handle.net/11000/31216
Resumen :
The bifurcation and chaotic behavior of TCP may cause heavy oscillation of average queue length at routers and induce network instability. In this context, congestion control in the Internet is a challenging problem of key importance. This work presents a new discrete dynamical model of Random Early Detection (RED) using beta distribution for controlling bifurcations and chaos in the internet congestion control. The numerical analysis and the simulation experiments show that this new Active Queue Management (AQM) model can obtain the stable average queue length to the desired fix point. The model programmed with Python and Mathematica incorporates new parameters (α, β) that make it possible to stabilize oscillations of averaged router queue length and to be close to stationary state.
Palabras clave/Materias:
congestion control
Active Queue Management (AQM)
Internet
discrete dynamical systems
Área de conocimiento :
CDU: Ciencias sociales: Estadística
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1109/INFCOMW.2019.8845266
Aparece en las colecciones:
Ponencias y comunicaciones



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