Table of Contents
Impact of time-scales on the modeling and characterization of network traffic
Collaborators
Road map
Introduction: traffic patterns
Introduction: simulations
Requirements for data transmission
Quality of Service parameters
Traffic patterns: “Star Wars” trace
Video traces
Self-similar traffic patterns
Influence of time-scales
Influence of time-scales
Heavy-tailed distribution of packet loss
LRD and Hurst parameter
Road map
Packet loss
Packet loss episodes: definition
Example: packet loss and loss episodes
Contribution of loss episodes and lost packets
Contribution of loss episodes and lost packets
Collection of packet loss data
Road map
ns-2 network simulator
Road map
Simple simulation scenario
Complex simulation scenario
Visualization: textured dot strip plots
Contribution of packet loss
Packet loss rates: mixed UDP and TCP sources
MPEG traces
MPEG traces
MPEG traces
Simulation results (1)
Simulation results (2)
Comparison of queuing mechanisms
FIFO/DropTail queuing scheme
Aggregate packet loss: buffer size
Aggregate packet loss: traffic load
Aggregate packet loss: traffic load
Aggregate packet loss: traffic load
Per-flow packet loss: buffer size
Simulation results: other schemes
Random Early Drop (RED)
RED simulation results
Per-flow packet loss: buffer size
Per-flow load, throughput, and loss
Per-flow load, throughput, and loss
Simulation details
FQ, SFQ, DRR structure
FQ, SFQ, DRR structure
FQ, SFQ, DRR structure
FQ, SFQ, DRR structure
FQ, SFQ, DRR structure
Simulation scenario
Per-flow packet loss: queuing scheme
Per-flow packet loss: queuing scheme
Per-flow load, throughput, and loss
Per-flow load, throughput, and loss
Per-flow load, throughput, and loss
Simulation results
Road map
Wavelet analysis
Filter-bank pyramidal algorithm
Wavelets
Daubechies wavelet (rank 2)
Daubechies wavelet (rank 9)
Monofractal estimator
Wavelet-based Hurst parameter estimator
Abry-Veitch estimator
PPT Slide
PPT Slide
PPT Slide
PPT Slide
PPT Slide
Characteristics of the “Star Wars” traffic trace
Wavelet analysis of packet loss
PPT Slide
Analysis of packet loss on multiple time-scales
Packet loss and time-scales
Hurst parameter estimation
Fractal estimators: multifractal
Fractal estimators: multifractal
Fractal estimators: performance
Video traces: sources
Video traces: coders
Video coders: examples (1)
Wavelet analysis: Futurama (MPEG4)
Wavelet analysis: Futurama (H263)
Wavelet estimators
Monofractal wavelet analysis: MTV
Multifractal wavelet analysis: MTV
Comparison of estimators: MTV
Monofractal wavelet analysis: Mr. Bean
Multifractal wavelet analysis: Mr. Bean
Comparison of estimators: Mr. Bean
Monofractal wavelet analysis: Jurrasic Park
Multifractal wavelet analysis: Jurassic Park
Comparison of estimators: Jurasic Park
Wavelet estimators: observations
Analysis of loss traces
Loss trace, 46 packets, monofractal
Loss trace, 46 packets, multifractal
Wavelet analysis: loss trace
Loss trace, 100 packets, monofractal
Loss trace, 100 packets, multifractal
Wavelet analysis: loss trace
Loss trace, 200 packets, monofractal
Loss trace, 200 packets, multifractal
Wavelet analysis: loss trace
Observations
Concluding remarks
Current work
Collaborators
References: on traffic (1)
References: on traffic (2)
References: on packet loss
References: on queuing schemes
References: on fractal estimators
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