Internet流量时间序列的分形分析
Fractal Analysis On Internet Traffic Time Series
摘要：
分形行为和长程相关性已被观察到在电信业务的测量和表征。在本文中，我们显示的分形分析，通过各种方法对互联网流量的应用结果。我们的研究结果表明，互联网流量表现出自相似性。时间尺度分析是描述局部不规则性的有效方法。研究结果表明，这两个互联网时间序列都具有长程相关的分形特征。
英文摘要：
Fractal behavior and long-range dependence have been observed in tele-traffic measurement and characterization. In this paper we show results of application of the fractal analysis to internet traffic via various methods. Our result demonstrate that the internet traffic exhibits self-similarity. Time-scale analysis show to be an effective way to characterize the local irregularity. Based on the result of this study, these two Internet time series exhibit fractal characteristic with long-range dependence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
