Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

Industrial cyber-physical systems rely increasingly on data from Internet-of-Things (IoT) devices and other systems as continuously emerging use cases implement new intelligent features. Edge computing can be seen as an extension of the cloud in close physical proximity, in which some of the typical...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2022-01, Vol.18 (1), p.498-508
Main Authors: Hastbacka, David, Halme, Jari, Barna, Laurentiu, Hoikka, Henrikki, Pettinen, Henri, Larranaga, Martin, Bjorkbom, Mikael, Mesia, Heikki, Jaatinen, Antti, Elo, Marko
Format: Article
Language:English
Subjects:
Arrowhead framework (AHF)
Cloud computing
Composition
Computer architecture
Condition monitoring
Cyber-physical systems
cyber-physical systems (CPSs)
Edge computing
Electronic devices
Industrial applications
Internet of Things
Interoperability
Monitoring
Production
production monitoring
system architecture
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Summary:Industrial cyber-physical systems rely increasingly on data from Internet-of-Things (IoT) devices and other systems as continuously emerging use cases implement new intelligent features. Edge computing can be seen as an extension of the cloud in close physical proximity, in which some of the typical cloud computing loads are beneficial to run. This article studies data analytics application development for integration of industrial IoT data and composition of application services executed on edge and cloud. A solution is designed to support heterogeneous hardware and run-time platforms, and focuses on the service layer that enables flexible orchestration of data flows and dynamic service compositions. The unified model and system architecture implemented, using the open Arrowhead framework model, is verified through two representative industrial use cases.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2021.3071509