Abstract-This paper discusses technical considerations of a Cloud infrastructure which interacts with mobile devices in order to migrate part of the computational overhead from the mobile device to the Cloud. The aim of the interaction between the mobile device and the Cloud is the enhancement of parameters that affect the Quality of Experience (QoE) of the mobile enduser through the offloading of computational aspects of demanding applications. This paper shows that mobile user's QoE can be potentially enhanced by offloading computational tasks to the Cloud which incorporates a predictive context-aware mechanism to schedule delivery of content to the mobile end-user using a low-cost interaction model between the Cloud and the mobile user. With respect to the proposed enhancements, both the technical considerations of the cloud infrastructure are examined, as well as the interaction between the mobile device and the Cloud.

This article presents a human-system interaction modelling approach for quantifying Web Quality of Experience (Web QoE) for mobile devices. It builds on current QoE and Web QoE research, and by fusing together data that is available on modern mobile devices, constructs a novel Mobile Web QoE (MWQoE) model that is user-centered and context-aware. The MWQoE model uses Bayesian Networks and works under uncertainty, while the MWQoE metric uses Utility Theory and delivers a quantified characterization of MWQoE on a single scale in specific scenarios. The importance of MWQoE lies in the fact that online content and service providers need insights into their users in order to understand how the experience in using their products is perceived.