most citedDevelopment of Multifractal Models for Self-Similar Traffic Flows

4 citations · 15 across the 8 of their papers we have counts for

collaborators

9 papers

cs.NI2021

Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation

G. Millán, G. Lefranc, R. Osorio-Comparán +1

Fractal behavior and long-range dependence are widely observed in measurements and characterization of traffic flow in high-speed computer networks of different technologies and co…

cs.NI2021

An Algorithm for Flow Control in Computer Networks Based in Discrete Control Theory

G. Millán

Developing of an effective flow control algorithm to avoid congestion is a hot topic in computer network society. This document gives a mathematical model for general network at th…

cs.NI2021

The Associative Multifractal Process: A Novel Model for Computer Network Traffic Flows

G. Millán, G. Lefranc, R. Osorio-Comparán

A novel constructive mathematical model based on the multifractal formalism in order to accurately characterizing the localized fluctuations present in the course of traffic flows…

eess.SP2021

On the Time Series Length for an Accurate Fractal Analysis in Network Systems

G. Millán

It is well-known that fractal signals appear in many fields of science. LAN and WWW traces, wireless traffic, VBR resources, etc. are among the ones with this behavior in computer…

physics.soc-ph20214 cited

Estimation of Hurst Exponent in Self-similar Traffic Flows

G. Millán

In this paper it presents, develops and discusses the existence of a process with long scope memory structure, representing of the independence between the degree of randomness of…

eess.SP2021

A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited

G. Millán, G. Lefranc

In the context of the simulations carried out using a simplified multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimatio…