Design and implementation of user-oriented video streaming service based on machine learning

We propose a method to determine appropriate quality of service (QoS) dynamically required by users for video streaming services in this paper. In the proposed method, the QoS parameters for the video streaming are determined based on the machine learning algorithm, by using a regression analysis in particular, according to the user requirements, computational/network resources and service provisioning environments. In this paper, we describe the design and implementation of our method. Furthermore, we confirm the feasibility of our proposed method through an experiment of a prototype system.