The associative multifractal process: a new model for computer network traffic flows

被引：1

作者：

Milian, Ginno ^{[1
]}

Osorio-Comparan, Roman ^{[2
]}

Lomas-Barrie, Victor ^{[2
]}

Lefranc, Gaston ^{[3
]}

机构：

[1] Univ San Sebastian, Fac Ingn & Tecnol, Puerto Montt 5501842, Chile

[2] Univ Nacl Autonoma Mexico, IIMAS, Mexico City, DF, Mexico

[3] Pontificia Univ Catolica Valparaiso, Valparaiso, Chile

来源：

2021 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (IEEE CHILECON 2021) | 2021年

关键词：

Associativity; convolution; high-speed computer networks; multifractal formalism; self-similar second-order time series; time series analysis;

D O I：

10.1109/CHILECON54041.2021.9703007

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A novel constructive mathematical model based on multifractal formalism in order to accurately characterizing the localized fluctuations present in the course of the traffic flows of today high-speed computer networks is presented. The proposed model would permit to analyze of self-similar second-order time series traffic flows, treating them as multifractal time series and representing total flows as the association of these series in terms of their convolution.

引用

页码：387 / 392

页数：6

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