How Modeling QoE Requirements Using Game Theory

In the 2000s, networks were increasingly used to provide multimedia content to a wide audience that are based on HTTP. Streaming based mainly on standard UDP protocol becomes unable to meet the growing needs of users. So a novel concept that evolved widely at the international level in 2007 was introduced: adaptive streaming based on HTTP that make us it possible to use the video playback application present on the terminal to supervise the downloading speed and to ask for packets of variable quality by adapting automatically to the conditions of the available network. DASH, Dynamic Adaptive Streaming over HTTP, is the latest standard for adaptive streaming of video. This technique introduces an additional level of complexity for measuring perceived video quality, as it varies the video bit rate. In this work we try to introduce the principle of DASH with the intelligence and automation of SDN networks to improve streaming video experience quality which is the main goal of all service providers. In this article we model the game between SDN, DASH and user opinion using a Game theory, at the end we make a small analysis of the effect of DASH on the quality of experience.