From Cloud to Fog and Sunny Sensors

Assistive systems collect large amounts of data in the internet of things and compute behavior and intentions of users in the cloud. Our approach is to push these computations (interpreted as database queries) as close as possible to the local sensors of the internet of things. We aim at replacing privacy-compromising cloud-based computations by fogor edge-based computations or even by processing on the local sensors directly. Not only can this approach solve privacy problems, but also results in a better performance and energy-efficiency of the whole system: sensor-based computations are the (privacy-respecting) sunny side of the cloud. This position paper will give a short motivation and state of the art in different areas (from databases to wireless sensor networks) and will present our approach in combining modern interfaces to different sensors and concepts of database theory such as query rewriting and query containment.