Título : Modeling a New AQM Model for Internet Chaotic Behavior Using Petri Nets |
Autor : Giménez, Ángel AMIGO, JOSE M. Martinez Bonastre, Oscar Valero, José Duran, Gullem |
Editor : MDPI |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2021 |
URI : https://hdl.handle.net/11000/30983 |
Resumen :
Formal modeling is considered one of the fundamental phases in the design of network
algorithms, including Active Queue Management (AQM) schemes. This article focuses on modeling
with Petri nets (PNs) a new scheme of AQM. This innovative AQM is based on a discrete dynamical
model of random early detection (RED) for controlling bifurcations and chaos in Internet conges tion control. It incorporates new parameters (α, β) that make possible better stability control over
oscillations of an average queue length (AQL) at the router. The PN is validated through the matrix
equation approach, reachability tree, and invariant analysis. The correctness is validated through the
key properties of reachability, boundedness, reversibility, deadlock, and liveness.
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Palabras clave/Materias: Petri nets Internet congestion control AQM dynamical systems chaos bifurcation |
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/app11135877 |
Aparece en las colecciones: Artículos Estadística, Matemáticas e Informática
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