A Markovian approach for modeling packet traffic with long-range dependence

被引：200

作者：

Andersen, AT ^{[1
]}

Nielsen, BF ^{[1
]}

机构：

[1] Tech Univ Denmark, Dept Math Modeling, IMM, DK-2800 Lyngby, Denmark

来源：

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS | 1998年 / 16卷 / 05期

关键词：

D O I：

10.1109/49.700908

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 present a simple Markovian framework for modeling packet traffic with variability over several time scales. We present a fitting procedure for matching second-order properties of counts to that of a second-order self-similar process. Our models essentially consist of superpositions of two-state MMPP's. We illustrate that a superposition of four two-state MMPP's suffices to model second-order self-similar behavior over several time scales. Our modeling approach allows us to fit to additional descriptors while maintaining the second-order behavior of the counting process. We use this to match interarrival time correlations.

引用

页码：719 / 732

页数：14

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