<span lang="en">Scalable video coding allows an efficient provision of video services at different quality levels with different energy demands. In order to deal with the resulting trade-off we analyze the number of video layers that are worth to be received taking into account the energy constraints. On one hand, a single-objective optimization is proposed based on dynamically selecting the number of layers, which is able to minimize the energy consumption with the constraint of a minimal quality threshold to be reached. However, this approach cannot reflect the fact that the same increment of energy consumption may result on different increments of visual quality. Thus, a multi-objective optimization is proposed and a utility function defined in order to weight the energy consumption and the visual quality criteria. Finally, since the optimization solving mechanism is computationally expensive to be implemented in mobile devices, a heuristic algorithm is proposed. This way mobile operators and end users could significally reduce their energy consumption while keeping reasonable quality levels.</span>

The current financial situation, together with the new market conditions, has led to major changes in the ICT sector over the last few years. Many of the services that were once only offered by operators are now being provided by third parties through the cloud. This situation has promoted new business models against the traditional ones. Furthermore, these economic changes have conducted to socio-cultural transformations with great impact on the user's behaviors. In this paper a cloud platform for the measurement and evaluation of the Quality of Experience (QoE) is presented. The platform is based in a model (QoXphere) that ensures the user satisfaction in terms of Quality of Service (QoS) and the provider economic benefits, as demanded in current market situation. In addition, the proposed cloud architecture intends to aid to advance in the work item opened recently in ITU-T to establish an ITU recognition procedure of testing laboratories with competence in ITU-T Recommendations.