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IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

 
: Borghesi, Andrea; Modica, Giuseppe di; Bellavista, Paolo; Gowtham, Varun; Willner, Alexander; Nehls, Daniel; Kintzler, Florian; Cejka, Stephan; Tisbeni, Simone Rossi; Costantini, Alessandro; Galletti, Matteo; Antonacci, Marica; Ahouangonou, Jean Christian

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Lefevre, L. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society; Association for Computing Machinery -ACM-:
21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021. Proceedings : 10-13 May 2021, Melbourne, Australia
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2021
ISBN: 978-1-7281-9587-2
ISBN: 978-1-7281-9586-5
pp.625-633
International Symposium on Cluster, Cloud and Internet Computing (CCGrid) <21, 2021, Online>
European Commission EC
H2020; 857191; IOTwins
Distributed Digital Twins for industrial SMEs: a big-data platform
English
Conference Paper
Fraunhofer FOKUS ()
IoTwins; digital twins; cloud; edge; IoT; service orchestration

Abstract
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.

: http://publica.fraunhofer.de/documents/N-640488.html