Wavelet-based models for network traffic

被引：0

作者：

Wei, D ^{[1
]}

Cheng, HG ^{[1
]}

机构：

[1] Drexel Univ, Dept Elect & Comp Engn, Ctr Telecommun & Informat Networking, Philadelphia, PA 19104 USA

来源：

PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING | 2000年

关键词：

D O I：

10.1109/SSAP.2000.870173

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：

We propose a novel set of wavelet-based stochastic models for self-similar network traffic with non-Gaussian behaviors. We show that these models are sufficiently accurate and parsimonious, and have very low computational complexity in analysis and synthesis.

引用

页码：490 / 494

页数：5

共 7 条

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