Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems
| Autor: | Heikki Mesia, Mikael Bjorkbom, Marko Elo, Martin Larrañaga, Henri Pettinen, Antti Jaatinen, David Hästbacka, Laurentiu Barna, Henrikki Hoikka, Jari Halme |
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| Přispěvatelé: | Tampere University, Computing Sciences, Automation Technology and Mechanical Engineering |
| Rok vydání: | 2022 |
| Předmět: |
Service (systems architecture)
Monitoring Computer science Arrowhead Framework Distributed computing Cloud computing Use case Computer architecture Orchestration (computing) Electrical and Electronic Engineering Edge computing Service layer business.industry Cyber-physical systems Cyber-physical system Production Production monitoring 113 Computer and information sciences Interoperability Condition monitoring Computer Science Applications Control and Systems Engineering Systems architecture business System architecture Information Systems |
| Zdroj: | 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 |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | 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. publishedVersion |
| Databáze: | OpenAIRE |
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