NDLI: Decomposition of network traffic of dialup access into trend and periodic components based on nonstationary Bayesian model

Content Provider	IEEE Xplore Digital Library
Author	Ikoma, N. Shimizu, T. Imazu, K. Yana, K.
Copyright Year	2003
Description	Author affiliation: Kyushu Inst. of Technol., Fukuoka, Japan (Ikoma, N.)
Abstract	A new model to decompose a network traffic time series into its components, such as trend, the effect of days in a week, and variations in a day, is proposed. The logarithm of dialup access traffic at Hosei University, which was averaged over an hour, is used as the network traffic time series. The idea of the model is originated from a nonstationary Bayesian model that decomposes a monthly tune series into trend, seasonally, and trading day effects in a month. In our approach, the components which appear in the model are defined as follows: there are two types of trend component which are smooth over several days and several hours; the effect of days in a week is a periodicity in a week; and the variation in a day is a periodicity in a day. We conclude that a model of one combination of the components is suitable for analysis, through an evaluation that uses ABIC for several combinations of the components.
Starting Page	2830
Ending Page	2833
File Size	257315
Page Count	4
File Format	PDF
ISBN	0780383524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-08-04
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Telecommunication traffic Traffic control Bayesian methods Communication system traffic control Predictive models State-space methods Digital audio players IP networks Performance analysis Telecommunication control
Content Type	Text
Resource Type	Article

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