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

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

39 Lataukset (Pure)

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivut498-508
Sivumäärä11
JulkaisuIEEE Transactions on Industrial Informatics
Vuosikerta18
Numero1
Varhainen verkossa julkaisun päivämäärähuhtik. 2021
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

  • Jufo-taso 3

!!ASJC Scopus subject areas

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

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