Author:Ginno Millán

Publications
Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation Ginno Millán, Gastón Lefranc, Román Osorio-Comparán and Víctor Lomas-Barrie EasyChair Preprint no. 5644
Long-Range Dependence, QoS and Self-Similar Time Series in Computer Networks Ginno Millán EasyChair Preprint no. 5527
An Algorithm for Flow Control in Computer Networks Based in Discrete Control Theory Ginno Millán EasyChair Preprint no. 5526
On the Time Series Length for an Accurate Fractal Analysis in Network Systems Ginno Millán EasyChair Preprint no. 5472
On the Generation of Self-similar with Long-range Dependent Traffic Using Piecewise Affine Chaotic One-dimensional Maps (Extended Version) Ginno Millán EasyChair Preprint no. 5255
Inclusion of Long-range Dependent Temporary Correlations and Self-similar Patterns in IEEE 802.3 Network Models Ginno Millán EasyChair Preprint no. 5265
Self-Similar Traffic Analysis at Network Layer Level. Part II: Application Ginno Millán EasyChair Preprint no. 5252
Self-similar Traffic Analysis at Network Layer Level. Part I: Fundamentals Ginno Millán EasyChair Preprint no. 5235
A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited Ginno Millán and Gastón Lefranc EasyChair Preprint no. 5221
Estimation of Hurst Exponent in Self-similar Traffic Flows. Ginno Millán EasyChair Preprint no. 5159
Generation and Characterization of Self-Similar Teletraffic Using a New Model of Piecewise Affine Chaotic One-dimensional Map Ginno Millán EasyChair Preprint no. 5158
Considerations About the Inclusion of Long-term Temporary Correlations and Self-Similar Patterns in IEEE 802.3-2005 Network Models Ginno Millán EasyChair Preprint no. 5151
Development of Multifractal Models for Self-Similar Traffic Flows Ginno Millán and Gastón Lefranc EasyChair Preprint no. 5150
Proposal of an Estimator of the Hurst Parameter for a Self-Similar Process Representative of the Degree of Randomness of the Recorded Traffic in IEEE 802.3-2005 Networks Ginno Millán EasyChair Preprint no. 5149
A Generalized Multifractal Model for Self-similar Traffic Flows in High-speed Computer Networks Ginno Millán EasyChair Preprint no. 5148
A Simple Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Ginno Millán EasyChair Preprint no. 5147
A Simple One-Dimensional Chaotic Map Model for the Fractal Traffic Flows Generation Ginno Millán EasyChair Preprint no. 5146
A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Ginno Millán EasyChair Preprint no. 5145
A Simple Chaotic Map Model for Fractal Traffic Generation in High-speed Computer Networks Ginno Millán EasyChair Preprint no. 5144
On the Hurst Exponent, Markov Processes, and Fractional Brownian Motion Ginno Millán EasyChair Preprint no. 5143
Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series Ginno Millán, Román Osorio-Comparán and Gastón Lefranc EasyChair Preprint no. 5141

Keyphrases

Aggregated series, Autocorrelation, Chaos², chaotic maps⁴, Computer Networks⁴, Congestion, Differentiated Services (DiffServ) architecture, Flow control algorithms, fractal dimension, fractality³, Fractals², Fractional Brownian motion (fBm), High-speed computer network, High-speed computer networks⁵, Hurst exponent⁴, Hurst exponent (H)⁹, Hurst index (H), IEEE 802.3-2005 standard², IEEE 802.3u computer network, Locality phenomenon, Long Range Dependent², long-range dependence³, Long-Range Dependence (LRD)², Long-scope memory, Markov modulated Poisson process, Markov Modulated Poisson Process (MMPP), Markov processes, Maximum Likelihood Estimator (MLE), multifractals⁵, Network Layer², network traffic, networks, Quality of Service (QoS)², scaling, security and teleinformatics, self-similar process, self-similarity¹⁵, stability, Stationary and nonstationary increments, Telematic traffic modeling, Teletraffic models, Temporary correlations, time series², time series analysis, traffic flows⁴, Traffic flows analysis, traffic modeling², Traffic modeling in computer networks, Traffic modeling in high-speed computer network, traffic modeling in high-speed computer networks, traffic models⁴, Whittle estimator³.