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

被引：0

作者：

Millan Naveas, Ginno ^{[1
]}

San Juan Urrutia, Enrique ^{[1
]}

Vargas Guzman, Manuel ^{[2
]}

机构：

[1] Univ Santiago Chile, Dept Ingn Elect, Santiago, Chile

[2] Univ San Sebastian, Fac Ingn Tecnol, Santiago, Chile

来源：

COMPUTACION Y SISTEMAS | 2019年 / 23卷 / 04期

关键词：

Multifractals; self-similarity; Hurst exponent (H); high-speed computer networks; traffic models; LONG-RANGE DEPENDENCE; LRD;

D O I：

10.13053/CyS-23-4-2831

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 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.

引用

页码：1517 / 1521

页数：5

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