Andrea Borghesi, Giuseppe Di Modica, Paolo Bellavista, Varun Gowtham, Alexander Willner, Daniel Nehls, Florian Kintzler, Stephan Cejka, Simone Rossi Tisbeni,
Alessandro Costantini, Matteo Galletti, Marica Antonacci, Jean Christian Ahouangonou
Cloud2Things 2021: 1st workshop on Cloud-to-Things continuum: towards the convergence of IoT, Edge aCloud2Things 2021: 1st workshop on Cloud-to-Things continuum: towards the convergence of IoT, Edge and Cloud Computing
Mai 2021
With the increase of the volume of data produced by IoT devices, there is a growing demand of applications capable of elaborating data anywhere along the IoT-to-Cloud path (Edge/Fog). In industrial environments, strict real-time constraints require computation to run as close to the data origin as possible (e.g., IoT Gateway or Edge nodes), whilst batch-wise tasks such as Big Data analytics and Machine Learning model training are advised to run on the Cloud, where computing resources are abundant. The H2020 IoTwins project leverages the digital twin concept to implement virtual representation of physical assets (e.g., machine parts, machines, production/control processes) and deliver a software platform that will help enterprises, and in particular SMEs, to build highly innovative, AI-based services that exploit the potential of IoT/Edge/Cloud computing paradigms. In this paper, we discuss the design principles of the IoTwins reference architecture, delving into technical details of its components and
offered functionalities, and propose an exemplary software implementation.