Comunicación presentada en las V Jornadas de Computación Empotrada, Valladolid, 17-19 Septiembre 2014The growing available capacity on a single chip is leading to increasingly sophisticated applications in the field of embedded systems. In addition, the cloud computing paradigm, allows the extension of the capabilities of these systems using remote resources. Among the wide range of applications that can arise in this context, are those in which it is critical to meet certain quality of service (QoS) requirements, such as limited latency. In these cases, real-time operating systems (RTOS) provide a valid solution to guarantee predictability and response time using the resources of the embedded system. However, in applications where the elements to process can grow and decrease in a variable way, the load can exceed the capabilities of the embedded system, which is an important limitation. In this paper, a new architecture is proposed, aiming to take the most of remotely available resources only when the load temporarily exceeds the capabilities of the embedded system. The access to the remote resources is done by using cloud platforms maintaining an acceptable level of QoS for the application
