most citedPreliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series

12 citations · 27 across the 10 of their papers we have counts for

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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…

eess.SP2021★ 12 cited

Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series

Ginno Millán, Román Osorio-Comparán, Gastón Lefranc

This article explores the required amount of time series points from a high-speed computer network to accurately estimate the Hurst exponent. The methodology consists in designing…

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…

eess.SP2021★ 4 cited

Development of Multifractal Models for Self-Similar Traffic Flows

G. Millán, G. Lefranc

This paper presents a simple technique of multifractal traffic modeling. It proposes a method of fitting model to a given traffic trace. A comparison of simulation results obtained…

eess.SP2021★ 4 cited

On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks

G. Millán

This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying traffic flows in aggregated time series. Following Differentiated Ser…