MODELS AND ALGORITHMS FOR SELF-SIMILAR IP NETWORK TRAFFIC SIMULATION AND PERFORMANCE ANALYSIS

被引：0
|
作者：
Radev, Dimitar [1 ]
Lokshina, Izabella [2 ]
机构：
[1] Univ Rousse, 8 Studentska St, Rousse 7017, Bulgaria
[2] SUNY Coll Oneonta, Oneonta, NY 13820 USA
来源：
8TH INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE 2010, ISC 2010 | 2010年
关键词：
Modeling and Simulation in Communication Networks; Teletraffic; Stochastic Self-similar Processes; Synthetic Self-Similar Sequence Generators;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper examines self-similar (or fractal) properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced fractal models of sequentional generators and.fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.
引用
收藏
页码：208 / 213
页数：6
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