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
收藏
页码：1517 / 1521
页数：5
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