Table of Contents
Wavelet Based Estimators of Long-Range Dependencies in Traffic Traces
Road map
Introduction: traffic patterns
Influence of time-scales
Influence of time-scales
LRD and Hurst parameter
LRD and Hurst parameter
Wavelet analysis
Wavelets and multiresolution analysis
Discreet wavelet transformation
Wavelet analysis
Filter-bank pyramidal algorithm
Daubechies wavelet (genus 2)
Daubechies wavelet (genus 9)
Estimation using wavelets
Monofractal estimators
Monofractal estimator
Monofractal estimator of the Hurst parameter
Multifractal estimator
Multifractal estimator
Video traces
MPEG traces
MPEG traces
MPEG traces
Monofractal wavelet estimator: MTV
Multifractal wavelet estimator MTV
Comparison of estimators: MTV
Monofractal wavelet estimator:Mr. Bean
Multifractal wavelet estimator:Mr. Bean
Comparison of estimators: Mr. Bean
Wavelet estimators: performance
Video traces: coders
Video coders: comparison
Wavelet analysis: Futurama (MPEG4)
Wavelet analysis: Futurama (H263)
Comparison of coders: Futurama
Effect of number of vanishing moments: monofractal case
Effect of number of vanishing moments: monofractal case
Effect of vanishing moments:Mr. Bean, monofractal, n = 2
Effect of vanishing moments:Mr. Bean, monofractal, n = 7
Effect of number of vanishing moments: multifractal case
Effect of number of vanishing moments: multifractal case
Effect of vanishing moments:Lambs, multifractal, n = 2
Effect of vanishing moments:Lambs, multifractal, n = 10
Effect of qth-observed moment: multifractal case
Effect of qth-observed moment: multifractal case
Effect of qth-observed moment:News, q = 1
Effect of qth-observed moment:News, q = 10
Wavelet estimators: observations
ns-2 network simulator
Simple simulation scenario
Analysis of loss traces
Wavelet estimator applied to loss processes
Loss trace, 46 packets, monofractal
Loss trace, 46 packets, multifractal
Loss trace, 100 packets, monofractal
Loss trace, 100 packets, multifractal
Loss trace, 200 packets, monofractal
Loss trace, 200 packets, multifractal
Observations: loss processes
Observations: loss processes
Concluding remarks
Concluding remarks
References: on fractal estimators
References: on traffic (1)
References: on traffic (2)
References: on packet loss
References: on queuing schemes
Collaborators
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Author: Zelimir Lucic
Email: zlucic@cs.sfu.ca
Home Page: http://www.ensc.sfu.ca/research/cnl/
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