The Locality Phenomenon in the Analysis of Self-Similar Network Traffic Flows

被引：0

作者：

Millan, G. ^{[1
]}

Chait, M. ^{[1
]}

Lefranc, G. ^{[2
]}

机构：

[1] Univ Catolica Norte, Escuela Ingn, Larrondo 1281, Coquimbo, Chile

[2] Pontificia Univ Catolica Valparaiso, Escuela Ingn, Valparaiso, Chile

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA) | 2016年

关键词：

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

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper present a method for the analysis of self-similar traffic flows in high-speed computer network with the aim of providing a possible explanation for the locality phenomenon that appears in the behavior of the Hurst exponent in stationary second order temporal series representing traffic flows in current high-speed computer networks. It is shown analytically that this phenomenon occurs if the network traffic flows consists of several components with different Hurst exponents.

引用

页数：3

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