Kalman filter based prediction of broadband traffic burstiness

DSpace/Manakin Repository

Kalman filter based prediction of broadband traffic burstiness

Show full item record

Title: Kalman filter based prediction of broadband traffic burstiness
Author: MURALI KRISHNA, P; GADRE, VM; DESAI, UB
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
Date: 2002


Files in this item

Files Size Format View
21688-1.pdf 267.1Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search DSpace


Advanced Search

Browse

My Account