Shifted gamma distribution model for long-range dependent Internet traffic

被引：38

作者：

Kim, S ^{[1
]}

Lee, JY ^{[1
]}

Sung, DK ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea

来源：

IEEE COMMUNICATIONS LETTERS | 2003年 / 7卷 / 03期

关键词：

fractional Gaussian noise; Internet traffic modeling; long-range dependence; shifted gamma distribution;

D O I：

10.1109/LCOMM.2002.808400

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

It is important to characterize the distributional property and the correlation structure of traffic arrival processes in modeling internet traffic. The conventional fractional Gaussian noise(fGn) model fails in,characterizing the distributional property when the distribution of the input traffic rates is nongaussian. We propose a shifted gamma distribution model which can solve this problem. A linear-time generation algorithm is also given.

引用

页码：124 / 126

页数：3

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