Modeling and evaluation design of heterogeneous media networks considering quality of experience

Aiming at social media platforms with different commercial scenarios, especially for “cloud gaming”, this paper proposes a modeling and analysis framework for heterogeneous media networks considering quality of experience, which addresses the challenges of quantifying human impacts. Through standardized definitions of humans and equipment, man-machine information transmission is classified formally. Then, the evaluation of quality of experience for entities and media networks are defined. Finally, a case study about analysis and optimization for media network in the scenario of “cloud gaming” is derived. Different simulation results and the experiment's comparison imply the applicability and effectiveness of the framework proposed in this paper.