Cloud computing has been lately extended by fog computing. The main aim of fog computing is to shift computing resources to the edge of the network, hence generating proximate rich infrastructures highly matching common latency and privacy requirements for IoT services. Recently, fog computing and cloud computing have been merged in a collaborative computing model referred to as Fog-to-Cloud computing (F2C). F2C’s aim is to make the most out of the set of distributed and heterogeneous resources found at fog and cloud premises, hence building a global stack of resources, offered for an optimized service performance. The F2C paradigm is then based on providing services with those resources best matching their demands. In this paper, we illustrate how F2C may be used for a particular ehealth scenario with specific constraints in mobility, also including future research lines in the area.