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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/479

Title: Kalman filter based prediction of broadband traffic burstiness
Authors: MURALI KRISHNA, P
GADRE, VM
DESAI, UB
Keywords: kalman filtering
broadband network
mathematical models
statistical methods
Issue Date: 2002
Publisher: IEEE
Citation: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (V 3), Orlando, USA, 13-17 May 2002, III-2137-III-2140
Abstract: In this paper, we propose tracking and control algorithms for controlling network congestion with bursty traffic modeled by multifractal cascade processes. The multifractal multiplicative cascades are characterized by the Holder exponents. The value of the Holder exponent at an interval indicates the burstiness in the traffic at that point. This value has to be estimated and used for the estimation of the congestion and predictive control of the traffic policing in networks. The estimation of the local Holder exponent can be done by employing the wavelet transforms and a Kalman filter based predictor to predict the burstiness of the traffic.
URI: 10.1109/ICASSP.2002.1005102
http://hdl.handle.net/10054/479
http://dspace.library.iitb.ac.in/xmlui/handle/10054/479
ISBN: 0-7803-7402-9
Appears in Collections:Proceedings papers

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