Estimation of in-service quality of experience for peer-to-peer live video streaming systems using a user-centric and context-aware approach based on Bayesian networks

In this paper, a modified and improved quality of experience (QoE) estimation approach has been presented on the basis of the user-behavior modelling and context-aware modelling. We have implemented this proposed approach for peer-to-peer live video streaming systems because of the dynamically adaptive and distributed nature of these systems. The problem of estimating QoE is formulated as a Bayesian network model using user-behavior and context-related variables as nodes. The relationship between these nodes are established to find out estimated QoE, which is based on the user-behavior data and context data, and dynamically adapt to any change in their values. This relationship is further explored to provide the basis for more user-centric, context-aware and dynamically adaptive services and network systems as this in-service QoE is important for network optimization and service provisioning. Copyright (c) 2013 John Wiley & Sons, Ltd.