Traffic modeling of a sub-network by using ARIMA

Yen Wen Chen, Chung Chi Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2001 International Conferences on Info-Tech and Info-Net
Subtitle of host publicationA Key to Better Life, ICII 2001 - Proceedings
EditorsY.X. Zhong, Zhisheng Niu, Shiduan Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages730-735
Number of pages6
ISBN (Electronic)0780370104, 9780780370104
DOIs
StatePublished - 2001
EventInternational Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: 29 Oct 20011 Nov 2001

Publication series

Name2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
Volume2

Conference

ConferenceInternational Conferences on Info-Tech and Info-Net, ICII 2001
Country/TerritoryChina
CityBeijing
Period29/10/011/11/01

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