These growing expectations, both from individuals and businesses, lead to an enormous increase of the volume and rate of the sensor data, its aggregation and analysis. This data needs to be processed at varying levels of detail complying with the given privacy constraints and regulatory restrictions (e.g. the GDPR).

This leads to two key architectural demands that are going to be addressed within SODALITE technologies: an increasing amount of in-vehicle data processing and intelligence at the network edge and increased computational capacity to process large amounts of data in a timely manner. The edge-based data processing in turn being enjoined to the same data usage control restrictions and privacy considerations as the rest of the data processing chain. This will be achieved by the use of SODALITE tools ensuring privacy-preserving distributed processing on one hand and large scale data processing on the other. Using modelling, heterogeneous edge (IoT/vehicles) and backend compute resources (Cloud and HPC).

Munich (Germany)