Predicting Internet End-to-End Delay: A Multiple-Model Approach

Abstract

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.

DOI: 10.1109/INFOCOM.2006.345

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@article{Yang2005PredictingIE, title={Predicting Internet End-to-End Delay: A Multiple-Model Approach}, author={Ming Yang and Jifeng Ru and X. Rong Li and Huimin Chen and Anwer Bashi}, journal={Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.}, year={2005}, volume={4}, pages={2815-2819 vol. 4} }