Optimized Adaptive Streaming with Intelligent Network Awareness

Video streaming service, considering both live as well as video-on-demand contents, has completely changed the internet world. However, buffering remains the biggest concern, which severely degrades the quality of experience. In particular, the amount of time spent in video buffering phase has the worst impact on the user engagement. This buffering phase becomes more visible while streaming in fluctuating networks, which is a common scenario when user watches streamed video while ravelling or during weather aberration. In this paper, we propose an intelligent network aware adaptive streaming method which estimates the past network trend, optimizes the video queue caching mechanism and enforces video quality in client device. By doing so, the algorithm is able to reduce buffering events by average 40% and quality switches by almost 45%, providing an almost seamless video streaming playback experience.