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Kalman filter based prediction of broadband traffic burstiness

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Title Kalman filter based prediction of broadband traffic burstiness
 
Creator MURALI KRISHNA, P
GADRE, VM
DESAI, UB
 
Subject kalman filtering
broadband network
mathematical models
statistical methods
 
Description 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.
 
Publisher IEEE
 
Date 2008-12-23T06:47:24Z
2011-11-27T19:11:41Z
2011-12-15T09:56:12Z
2008-12-23T06:47:24Z
2011-11-27T19:11:41Z
2011-12-15T09:56:12Z
2002
 
Type Article
 
Identifier Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (V 3), Orlando, USA, 13-17 May 2002, III-2137-III-2140
0-7803-7402-9
10.1109/ICASSP.2002.1005102
http://hdl.handle.net/10054/479
http://dspace.library.iitb.ac.in/xmlui/handle/10054/479
 
Language en