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Stabilizing Chaotic Behavior of RED


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Título :
Stabilizing Chaotic Behavior of RED
Autor :
Duran, Guilem
Valero Cuadra, José
AMIGO, JOSE M.  
Giménez, Ángel  
Martinez Bonastre, Oscar  
Editor :
IEEE
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2018-11-08
URI :
https://hdl.handle.net/11000/31441
Resumen :
The Internet is a so complex nonlinear network that many results show how the data flow exhibits chaotic attributes and the fractal nature of aggregate TCP/IP traffic. In this work, we study a new model of Random Early Detection (RED) using beta distribution configured by tuning decisions of dropping or accepting packets so that the queue occupancy level is kept at a given target level, thereby eliminating aggressive fluctuations of buffer underflow and overflow. Our proposed model programmed with Python incorporates new parameters (a, B) that make it possible to stabilize oscillations of averaged router queue length and to be close to the stationary state. We present study and numerical analysis from the same perspective of former studies for congestion control.
Palabras clave/Materias:
congestion control
AQM
Internet
protocols
Área de conocimiento :
CDU: Generalidades.: Ciencia y tecnología de los ordenadores. Informática.
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1109/ICNP.2018.00033
Aparece en las colecciones:
Ponencias y comunicaciones



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