The development of pervasive systems and the ubiquitous connectivity has removed the boundaries between the physical and the virtual world allowing the implementation of the Industrial Internet of Things (Industrial IoT). Smart factories can effectively integrate autonomous machines with their business processes in order to exchange the sensed data, trigger actions and coordinate different machines towards a common goal. The new advances in the distribution of the computation (fog, edge and mist computing), the increase in the computing capacities of end devices (UAVs, robots, machines, etc.), the deployment of 5G / 6G networks, the artificial intelligence and the integration of humans-in-the-loop predict a bright future for Industrial IoT.

New approaches are needed to identify how to orchestrate and distribute the computing processes and services of each industry in a multilayer computing infrastructure (cloud, fog, edge, or mist), how to intelligently perform that distribution based on the characteristics of the system and state of the network, how this distribution can support the digital twins of an industrial scenario, how to also integrate intelligence at the edge of the network to improve the decision making process, and how to integrate humans and their context into the production processes to adapt them to their needs.