According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.

文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。

youdao

Based on statistics character of traffic in a large-scale network, the steady metrics that can estimated network behavior are found and a sampling measurement model is presented in this paper.

基于大规模网络流量的统计特征，寻找能够评价网络行为的稳定测度，并建立抽样测量模型。

youdao

Based on statistics character of traffic in a large-scale network, the steady metrics that can estimated network behavior are found and a sampling measurement model is presented in this paper.

基于大规模网络流量的统计特征，寻找能够评价网络行为的稳定测度，并建立抽样测量模型。

youdao