Fog computing aims at providing horizontal, system-level, abstractions to distribute computing, storage, control and networking functions closer to the user along a cloud-to-thing continuum. Whilst fog computing is increasingly recognised as the key paradigm at the foundation of Consumer and Industrial Internet of Things (IoT), most of the initiatives on fog computing focus on extending cloud infrastructure. As a consequence, these infrastructure fall short in addressing heterogeneity and resource constraints characteristics of fog computing environments.
Angelo Corsaro, PhD – Chief Technology Officer, ADLINK Gabriele Baldoni – Technologist, ADLINK Early Internet of Things (IoT) applications adopted cloud-centric architectures where information collected from things is processed in a cloud infrastructure and decisions are pushed back from the cloud to things. While this architectural paradigm is suitable for a subset of Consumer IoT (CIoT), it quickly shows its limitation in the context of Industrial IoT (IIoT). More specifically, the following assumptions, at the foundation of cloud-centric architectures, are generally violated in IIoT applications: