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Class of Models for Aggregated Traffic Volume Time Series

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journal contribution
posted on 01.01.2001 by Anthony Brockwell, N. H. Chan, P. K. Lee

Two time series are considered in this paper: one is the volume of hard disk activity, aggregated into half-hour periods, measured on a workstation, and the other is the volume of internet requests made to a workstation. Both of these time series exhibit features typical of network traffic data, namely, strong seasonal components and highly non-Gaussian distributions. For these time series, a particular class of nonlinear state-space models is proposed, and practical techniques for model-fitting and forecasting are demonstrated.


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