The Internet traffic characteristics of a sub-network are analyzed from the correlation point of view. It is easy to recognize that the traffic histogram of the sub-network shows the seasonal variation phenomenon with a 24-hour period due to the daily usage. This property is important for traffic modeling. The autoregressive integrated moving average (ARIMA) model is applied to characterize the properties of sun-network traffic. The modeling performance is evaluated by examining the match of histogram and moving average behavior. Our experimental results illustrate that the proposed model can effectively capture the characteristics of Internet traffic and can then be used as a suitable traffic model for the analysis of Internet performance.
|Title of host publication
|2001 International Conferences on Info-Tech and Info-Net
|Subtitle of host publication
|A Key to Better Life, ICII 2001 - Proceedings
|Y.X. Zhong, Zhisheng Niu, Shiduan Cheng
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2001
|International Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: 29 Oct 2001 → 1 Nov 2001
|2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
|International Conferences on Info-Tech and Info-Net, ICII 2001
|29/10/01 → 1/11/01