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.
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页数：3
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