摘要
本文应用多重分形分析方法对宽带网络中自相似业务量的分形行为进行分析,与传统的统计测量方法比较,这种方法可以同时刻划被观察数据序列的短期和长期的分形行为.通过对一些业务量模型以及真实业务量的分析,表明该方法可以比较细致地刻划业务量的分形特性,得到的一个重要的结论是宽带网络中的业务量具有多重分形特性.
In this paper,we employ an approach of multifractal analysis to characterize the self-similar traffic in broadband net- works. In comparison to the traditional statistical analysis, this approach possesses the capability of describing the long-tern fractal behavior as well as the shortterm behavior. By using this approach,we analyze the real traffic and the results prove the effectiveness of this approach An important conclusion is Obtained that traffic in broadbannd networks.owns the multifractal Property.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2000年第1期96-98,共3页
Acta Electronica Sinica
关键词
自相似业务量
多重分形分析
宽带网络
traffic modeling
self similarity
fractal analysis
statistical analysis