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

David Hastbacka; Jari Halme; Laurentiu Barna; Henrikki Hoikka; Henri Pettinen; Martin Larrañaga; Mikael Bjorkbom; Heikki Mesia; Antti Jaatinen; Marko Elo

doi:10.1109/TII.2021.3071509

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

David Hastbacka
, Jari Halme
, Laurentiu Barna
, Henrikki Hoikka
, Henri Pettinen
, Martin Larrañaga
, Mikael Bjorkbom
, Heikki Mesia
, Antti Jaatinen
, Marko Elo

Tampere University
CrossControl Oy
Konecranes Oyj
Metso Outotec Finland Oy
Wapice Oy

Research output: Contribution to journal › Article › Scientific › peer-review

53 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	498-508
Number of pages	11
Journal	IEEE Transactions on Industrial Informatics
Volume	18
Issue number	1
DOIs	https://doi.org/10.1109/TII.2021.3071509
Publication status	Published - 1 Jan 2022
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Arrowhead Framework
Cloud computing
Computer architecture
Condition monitoring
Cyber-physical systems
Edge computing
Interoperability
Monitoring
Production
Production monitoring
System architecture

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10.1109/TII.2021.3071509Licence: CC BY

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Hastbacka, D., Halme, J., Barna, L., Hoikka, H., Pettinen, H., Larrañaga, M., Bjorkbom, M., Mesia, H., Jaatinen, A., & Elo, M. (2022). Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems. IEEE Transactions on Industrial Informatics, 18(1), 498-508. https://doi.org/10.1109/TII.2021.3071509

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

abstract = "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.",

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Hastbacka, D, Halme, J, Barna, L, Hoikka, H, Pettinen, H, Larrañaga, M, Bjorkbom, M, Mesia, H, Jaatinen, A & Elo, M 2022, 'Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems', IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 498-508. https://doi.org/10.1109/TII.2021.3071509

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AU - Hastbacka, David

AU - Halme, Jari

AU - Barna, Laurentiu

AU - Hoikka, Henrikki

AU - Pettinen, Henri

AU - Larrañaga, Martin

AU - Bjorkbom, Mikael

AU - Mesia, Heikki

AU - Jaatinen, Antti

AU - Elo, Marko

N1 - Funding Information: This work was supported in part by the EU ECSEL JU under Grant 737459 and by Business Finland in the Productive4.0 project and in part by the Academy of Finland under Grant 310098. Paper no. TII-20-3109.

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KW - Condition monitoring

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KW - Interoperability

KW - Monitoring

KW - Production

KW - Production monitoring

KW - System architecture

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

Abstract

UN SDGs

Keywords

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