  Novel Internet of Things (IoT) requirements derived from a broader
interconnection of heterogeneous devices have pushed the horizons of Cloud
computing and are giving rise to a wider decentralisation of applications and
data centers. An answer to the underlying network concerns, such as the need to
lower the resulting latency due to heavy computation needs,or safety aspects,
gave rise to Edge/Fog computing, where IoT functionality can be also supported
closer to data sources. While it is today feasible to perform some IoT
functionality on the Edge, the orchestration of operations between Edge and
Cloud requires an automated support, where context-awareness plays a key role
in assisting the network in deciding when and whereto store data and to perform
computation. This work is focused on the application of context-awareness to
support a smoother operation of the Edge to Cloud operation, aiming at lowering
latency, in particular when real-time or close-to-real-time data exchange is
present.
