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Predicting Internet end-to-end delay: a multiple-model approach

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5 Author(s)
Yang, M. ; Dept. of Electr. Eng., New Orleans Univ., LA, USA ; Jifeng Ru ; Li, X.R. ; Chen, H.
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This paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics can be described by a set of models rather than a single one; by running a bank of filters (each corresponds to a certain model in the set) in parallel at the same time, the MM output is given by a combination of the estimates from these filters. Based on collected end-to-end delay data and preliminary data analysis, we propose an off-line model set design procedure using vector quantization (VQ) and short-term time series analysis so that MM methods can be applied to predict on-line measurement data. Numerical results show that the proposed MM predictor outperforms two widely used adaptive filters in terms of prediction accuracy and robustness.

Published in:

INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE  (Volume:4 )

Date of Conference:

13-17 March 2005