A probability-based adaption method for server-pushed streaming over HTTP 2.0
Nowadays, HTTP protocol contributes significantly in media streaming. Recently, the deployment of HTTP 2.0 has introduced several novel instruments for developers to control and optimize the streaming process. In this paper, we propose a streaming solution for live streaming services with small buffer sizes, focusing on pushed function of HTTP 2.0. By adjusting the number of pushed-segments in each request from client, our method provides an option to achieve a balance between the number of requests and the stability of the service. The experimental results show that our proposed method surpasses conventional streaming strategy in terms of buffer level and overall network overhead.