Convergence of Sample Autocorrelation of Long-Range Dependent Traffic

被引：0

作者：

Li, Ming ^{[1
]}

Zhao, Wei ^{[2
]}

机构：

[1] E China Normal Univ, Sch Informat Sci & Technol, Shanghai 200241, Peoples R China

[2] Univ Macau, Dept Comp & Informat Sci, Taipa 1356, Macau, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷

基金：

中国国家自然科学基金;

关键词：

OPTIMAL APPROXIMATION; DELAY; NETWORKS;

D O I：

10.1155/2013/725730

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We depict our work on a fundamental issue in the theory of long-range dependent traffic in the aspect of the convergence of sample autocorrelation function (ACF) of real traffic. The present results suggest that the sample ACF of traffic is convergent. In addition, we show that the sample size has considerable effects in estimating the sample ACF of traffic. More precisely, a sample ACF of traffic tends to be smoother when the sample size increases.

引用

页数：7

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