Sara Rodríguez-González

TL;DR: A proposal for a tiered architecture with a modular approach that allows to manage the complexity of solutions not only for Industry 4.0 environments but also for other scenarios such as smart cities, smart energy, healthcare or precision agrotechnology.

TL;DR: This work presents a platform oriented to the application of IoT, Edge Computing, Artificial Intelligence and Blockchain techniques in Smart Farming environments, by means of the novel Global Edge Computing Architecture, designed to monitor the state of dairy cattle and feed grain in real time, as well as ensure the traceability and sustainability of the different processes involved in production.

TL;DR: The use of an Edge-IoT platform and a Social Computing framework to build a system aimed to smart energy efficiency in a public building scenario and the results make evident the notable benefits that come from applying Edge Computing to both energy efficiency scenarios and the framework itself.

TL;DR: This study proposes a new classification from the point of view of Cloud Computing, based on the reference architecture proposed by the National Institute of Standards and Technology and the different responsibilities of each of the roles that participate in the Cloud Computing paradigm as identified in the architecture: Provider, Consumer, Broker, Carrier and Auditor.

TL;DR: The presented architecture includes fog nodes where data is processed by light intelligent agents allowing for the implementation of contextual recommendation systems together with the configuration of a Case Based Reasoning in the Cloud layer to improve the efficiency of the whole system over the time.