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

被引：2

作者：

Millan, G. ^{[2
]}

Lefranc, G. ^{[1
]}

机构：

[1] Pontificia Univ Catolica Valparaiso, Av Brasil 2950, Valparaiso, Chile

[2] Univ Santiago Chile, Estn Cent, Santiago, Chile

来源：

FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2013年 / 17卷

关键词：

High-speed computer networks; Hurst exponent (H); multifractals; self-similarity; traffic modeling;

D O I：

10.1016/j.procs.2013.05.054

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a new multifractal model, with the aim of providing a possible explanation for the locality phenomenon that appears in the estimation of the Hurst exponent in stationary second order temporal series representing self-similar traffic flows in current high-speed computer networks. It is shown analytically that this phenomenon occurs if the network flow consists of several components with different Hurst exponents. (C) 2013 The Authors. Published by Elsevier B.V.

引用

页码：420 / 425

页数：6

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