The transition to software-driven components and systems requires the efficient integration of a range of new technologies and vertically agnostic services. It requires a data strategy, reliable data exchange frameworks, frugal AI at the (far) edge and containerisation and virtualisation across complex value chains.

Furthermore, decentralised collective decision-making and federation of systems/networks must be harnessed to govern data exchange within models, applications and services across the IoT edge-cloud continuum. The operational metasystem must (among other things) provide flexible orchestration mechanisms to efficiently combine and utilise the heterogeneous infrastructure elements that make up the IoT edge-cloud continuum. In particular, it should support exposed standardised service APIs, hardware abstraction, cross-domain resource orchestration and deployable/decentralised frugal AI.

AerOS focuses on distributed data management to make user-side applications more intelligent and proactive and to provide the basis for hyper-distributed applications and services, closer to data sources and event-generating processes, without sacrificing aggregated data analysis and insights. In addition, the concept of services as a ‘unifying abstraction’, across resources (i.e., any physical or virtual resource in the IoT edge-cloud continuum, from device to far-edge, edge or cloud) is envisaged.

[Photo by panumas nikhomkhai].