Video Traces for Network Performance Evaluation: A Comprehensive Overview and Guide on Video Traces and Their Utilization in Networking Research
SAM: A Simplified Seasonal ARIMA Model for Mobile Video over Wireless Broadband Networks
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
IEEE Communications Surveys & Tutorials
Content-based MPEG video traffic modeling
IEEE Transactions on Multimedia
Traffic characteristics of H.264/AVC variable bit rate video
IEEE Communications Magazine
Mobile Video Transmission Using Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Parlay X web services for policy and charging control in multimedia networks
Advances in Multimedia
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We propose a simple model that is capable of capturing the statistical characteristics of mobile video traces encoded using MPEG4-Part2, AVC and SVC-TS encoding standards. The model can be adjusted to adapt to diverse workload configurations, which gives fellow researchers a great flexibility to evaluate different network traffic scenarios. We also discuss the model-based trace generator and the challenges of its implementation. Moreover, we present the simulation results validating the model using different encoding settings. In addition to that, we provide several insights about our video modeling approach. This will help in testing, simulating and validating mobile video transmission and resource scheduling strategies over broadband wireless networks such as WiMAX and LTE.