VBR video traffic models 1st Edition by Harry G Perros, Savera Tanwir ISBN 1118931068 9781118931066

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ISBN 10: 1118931068 
ISBN 13: 9781118931066
Author: Harry G Perros, Savera Tanwir

There has been a phenomenal growth in video applications over the past few years. An accurate traffic model of Variable Bit Rate (VBR) video is necessary for performance evaluation of a network design and for generating synthetic traffic that can be used for benchmarking a network. A large number of models for VBR video traffic have been proposed in the literature for different types of video in the past 20 years. Here, the authors have classified and surveyed these models and have also evaluated the models for H.264 AVC and MVC encoded video and discussed their findings.

VBR video traffic models 1st Table of contents:

Chapter 1. Video Coding
1.1. Video coding
1.2. Video coding standards
1.2.1. The MPEG video coding standard
1.2.2. H.264/MPEG-4 AVC
1.2.3. H.264 SVC
1.2.4. H.264 MVC
1.3. Rate control
1.4. Summary
Chapter 2. Video Traffic Modeling
2.1. The AR models
2.1.1. Review of the AR process
2.1.2. Survey of AR video traffic models
2.2. Models based on Markov processes
2.2.1. Review of Markov process models
2.2.2. Survey of Markov process models
2.2.3. Summary
2.3. Self-similar models
2.3.1. A survey of self-similar models for video traffic
2.3.2. Summary
2.4. Wavelet-based models
2.4.1. Survey of wavelet-based video traffic models
2.4.2. Summary
2.5. Other approaches
2.5.1. The M/G/∞ process
2.5.2. The SARIMA model
2.5.3. TES-based models
2.5.4. Summary
2.6. Video traffic models for layered scalable video
2.6.1. Summary
2.7. Video traffic models for three-dimensional video
2.7.1. A video traffic model for MVC video
2.8. Conclusion
Chapter 3. Evaluation of Video Traffic Models For H.264 AVC Video
3.1. Model implementation
3.1.1. The DAR(1) model
3.1.2. A frame-based AR(2) model
3.1.3. A Markov-modulated gamma model
3.1.4. A wavelet model
3.2. Experimental setup
3.3. Frame size distribution and ACF comparisons
3.4. QoS evaluation
3.4.1. End-to-end delay
3.4.2. Jitter
3.4.3. Packet loss
3.4.4. The simulation model
3.4.5. Results
3.5. Conclusion
Chapter 4. Evaluation of Video Traffic Model For H.264 MVC Video
4.1. A video traffic model for MVC video
4.2. Experimental setup
4.3. Results
4.3.1. Q–Q plots and ACF comparisons
4.3.2. QoS evaluation
4.4. Conclusion

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Tags: Harry G Perros, Savera Tanwir, VBR, traffic