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Technological advances such as miniaturization of sensors, mobile devices and increased computational capabilities have given way to Context Aware Applications (ACC), which constantly monitor and change depending on the context. These applications require a variety of features and services, particularly on the management of context. When applications/services lack part or some of these services, they must be consumed from other suppliers who can provide them via a middleware. In addition, due to the changes undergone by the context mean that such services consumed by the ACC must be dynamic; and due to the amount of data involved to define the context, it may require more computation capacity than that provided by a mobile device. For these reason it is necessary the use of the Cloud. In this way, to support these requirements is proposed CARMiCLOC (Context Awareness in Reflective Middleware Cloud Computing), a web-service based middleware, which can behave as a SaaS (Software as a Service) or as a PaaS (Platform as a Service).

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In a Smart City is required computational platforms, which allow environments with multiple interconnected and embedded systems, where the technology is integrated with the people, and can respond to unpredictable situations. One of the biggest challenges in developing Smart City is how to describe and dispose of enormous and multiple sources of information, and how to share and merge it into a single infrastructure. In previous works, we have proposed an Autonomic Reflective Middleware with emerging and ubiquitous capabilities, which is based on intelligent agents that can be adapted to the existing dynamism in a city for, ubiquitously, respond to the requirements of citizens, using emerging ontologies that allow the adaptation to the context. In this work, we extend this middleware using the fog computing paradigm, to solve this problem. The fog extends the cloud to be closer to the things that produce and act on the smart city. In this paper, we present the extension to the middleware, and examples of utilization in different situations in a smart city.

En los Ambientes Inteligentes (AmI) existen dispositivos inteligentes que interactúan entre sí en el cumplimiento de sus tareas, que necesitan entender su contexto para poder ofrecer servicios adecuados a sus usuarios. Un AmI para aprendizaje en la nube (AmICL) es aquel que facilita la ubicación y uso de servicios educativos disponibles en la nube, que serán puestos a disposición de los usuarios (Profesores y Estudiantes), derivando en una mejora en sus procesos de enseñanza-aprendizaje. Uno de los aspectos fundamentales para su desarrollo, es la consciencia contextual. Este trabajo integra un AmICL basado en Sistema Multi-Agentes, con servicios de Consciencia de Contexto, enriqueciendo el modelo Semántico de AmICL a través de una base de conocimiento ontológica que permite a los agentes de AmICL tomar decisiones adaptadas al momento. Particularmente, a través de procesos de minería ontológica y el uso de meta-ontologías, para hacer emerger modelos ontológicos adecuados al contexto.