A Low Latency Adaptive Video Streaming Framework To Control The Congestion And Reduce The Switching Times Between Quality Levels

ABSTRACT

Video streaming over the Internet is considered the most essential communication technology in recent years, especially with the spread of the SARS-CoV2 pandemic where the communication between people and the work via online videos. This technology faces various challenges that may be obstacles for the customer and the service provider to deliver videos with a flexible quality and without interruption. The high congestion value of the frames on the buffer of the client is one of these challenges. Consequently, the video latency is increased, and thus reduced the video throughput with more interruptions and low quality. The paper is suggested an adaptive video streaming framework by introducing a low latency in an online application to control the congestion and reduce switching times between levels to make video streaming more seamless. The low latency scheme aims to increase the bitrates to optimal values to avoid the congestion of frames on the buffer with a minimum delay value. Analyzing the video load based on three Parameters latency, Buffering, and throughput of the dynamic system will control the congestion to reduce the switching between quality levels and consequently improve the performance.