Modeling and Performance Evaluation Video Streaming System

Adaptive video streaming is a adequate advancement with respect to classic progressive download streaming a la YouTube. Adaptive video streaming represents a key innovation with respect to (wrt) classic progressive download streaming such as the one employed by YouTube.Video streaming is gaining amicability among mobile users. The latest mobile devices, such as smart phones and tablets, are armed with multiple wireless network interfaces. Real-time streaming video over wireless networks is a challenging proposition due to the characteristics of video data and wireless channels. The adaptation is done with respect to both channel and data. Among the different approaches, the video stream-switching technique is getting spacious acceptance, being adopted by Microsoft, Apple, and popular video streaming services such as Akamai, Netflix , Hulu , and Live stream. To evaluate the performance of the proposed adaptation algorithm, we implemented a testbed using the Android mobile phone and the Scalable Video Coding (SVC) codec. Experiment results illustrate the eventuality and effectiveness of the proposed adaptation algorithm for mobile video streaming applications, which outperforms the available state-of-the-art adaptation algorithms. In this paper,we present a model of the automatic video stream-switching employed by one of these significant video streaming services along with a narrative of the client-side communication and control protocol.

Keywords:

multiple links , DASH , Markov decision process , Scalable Video Coding , Adaptive video streaming