12 citations · 27 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
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…
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…
Traffic Flows Analysis in High-Speed Computer Networks Using Time Series
G. Millán
This article explores the required amount of time series points from a high-speed traffic network to accurately estimate the Hurst exponent. The methodology consists in designing a…
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…