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。

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.

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这种时钟周期以每两年发生一次突变的速度为基准。

The clock ticks at a rate of about one mutation every two years.

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进一步分析表明，地球自转速度和太阳黑子周期长度的变化对高原及北半球本世纪气候的突变和阶段性变化起着重要的作用。

Further analyses show the variation of earth rotation rate and sunspot cycle length have important role on the climate abrupt change in the Qinghai-Xizang Plateau.

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