Video Traffic Modeling Using Seasonal ARIMA Models
This presentation covers the following topics:
- Goals
- Group of Pictures
- MPEG Encoding
- Video Trace
- Video Frames
- Video Frames: A Closer Look
- Video Frames: I, P, B Size Distribution
- Auto-Regressive Models
- Moving Average Models
- ARIMA Models
- Seasonal ARIMA Model
- Interpreting ACF and PACF
- Traffic Modeling – All Frames
- Results
- Modeling All Frames: Seasonal ARIMA Model
- Modeling All Frames: Log Seasonal Model
- Modeling I, P, B Frames Separately
- Modeling I Frames
- Akaike’s Information Criterion (AIC)
- Modeling I Frames: Results
- Modeling P Frames
- Modeling B Frames
- Combining I, P, B Models
- Summary
Presentation slides in Adobe Acrobat Format:
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