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

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

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Industrial cyber-physical systems rely increasingly on data from 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 paper 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 languageEnglish
Pages (from-to)498-508
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number1
Early online dateApr 2021
DOIs
Publication statusPublished - 2022
Publication typeA1 Journal article-refereed

Keywords

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

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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