关键词: 自相似, 流量采样, 流量分布

Abstract: 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.

Key words: self-similarity, traffic sampling, traffic distribution