iPAS系统IP承载网流量的研究

Study of IP supporting network traffic of iPAS system

采用方差时间图方法分析了一个大型商用iPAS系统IP承载网流量数据,得出IP承载网流量呈弱自相似过程的结论,这意味着从不同的时间尺度来看,IP承载网流量具有突发性,但突发性并不是很强。而对IP承载网流量分布的分析,表明IP承载网流量呈比较复杂的分布,不能用常用的分布表示。流量峰值反映了流量的突发情况,该文研究发现,对同一流量过程,采样时间粒度不同,则采样得到的流量峰值不同。所以,为了得到必要的流量特征细节,必须合理选择采样时间粒度。

IP supporting network traffic of a large-scale commercial iPAS System was analyzed with variance-time graph. The result was that the traffic fits to light level self-similarity process, meaings that the traffic had the characteristic of burst, but not very strong. Analysis indicated that IP supporting network traffic distribution was very complicated and could't be expressed as typical distribution usually used. Peak value of the traffic showed the burst. Study in this paper showed that for the same traffic process, varying sampling time scale results from different Peak value. So, in order to gain the necessary detail of the traffic, sampling time scale must be selected correctly.