Robust Estimation of the Self-similarity Parameter in Network Traffic

50 mins 27 secs,  46.19 MB,  MP3  44100 Hz,  125.01 kbits/sec
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Description: Shen, H (North Carolina)
Thursday 24 June 2010, 09:00-09:45
 
Created: 2010-06-29 08:23
Collection: Stochastic Processes in Communication Sciences
Publisher: Isaac Newton Institute
Copyright: Shen, H
Language: eng (English)
Credits:
Author:  Shen, H
 
Abstract: 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.
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