A framework of scalable QoE modeling for application explosion in the Internet of Things

The Internet of Things (IoT) opens a new horizon for network applications by virtue of wireless sensor network technologies and advancement of data analytics. Since various applications are possible in the IoT compared to conventional multimedia applications, quality of experience (QoE), which is a user's subjective satisfaction with the application, becomes more complicated for network operators to perceive. In this paper, we propose a framework of scalable QoE modeling for explosively increasing applications. In the framework, the massive amount of quality metrics in the IoT architecture are defined as physical metrics and organized into four layers; device, network, computing, and user interface. We also introduce metaphysical metrics, which are the summarized quality metrics that users of IoT applications demand. By aggregating the massive amount of physical metrics into certain metaphysical metrics and qualitatively modeling the QoE by the metaphysical metrics according to the characteristics of the applications, scalable modeling of the QoE for continuously emerging applications in the IoT becomes possible.