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Robust Estimation of the Self-similarity Parameter in Network Traffic

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Stochastic Processes in Communication Sciences

We shall discuss the problem of estimating the self-similarity parameter of network traffic traces. Robust estimators will be reviewed that are less sensitive to commonly encountered non-stationary traffic conditions, such as sudden level shifts and breaks. Numerical results from simulated experiments and real trace applications will be used for illustration.

This talk is part of the Isaac Newton Institute Seminar Series series.

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