CloudFog Automation: Heterogenous Applications Over New-Generation Infrastructure of Virtualized Computing and Converged NetworksShow others and affiliations
2024 (English)In: IEEE Industrial Electronics Magazine, ISSN 1932-4529, E-ISSN 1941-0115, Vol. 18, no 4, p. 30-42Article in journal (Refereed) Published
Abstract [en]
The emergence of virtualized computing and converged networks has the potential to revolutionize industrial automation systems, offering unprecedented levels of flexibility and scalability that were previously unattainable with traditional infrastructure. Therefore, cloud-fog automation (CFA) platforms are becoming key players not only in coordinating the production task management in upper-layer applications but also in handling real-time control and monitoring by the edge devices. In this article, we discuss how cloud/fog-based virtualization and converged communication networks can allow for flexible deployment of automation use cases and evaluate the impacts introduced by the less deterministic infrastructure from the perspective of control. Four representative use cases are studied using our in-house developed CFA platform to demonstrate the smart coordination of automation in a variety of real-life prototypes. Moreover, the capabilities of the commercial off-the-shelf virtualized computing and converged networks are characterized, which confirms that the CFA platform as an essential part of the future industrial infrastructure for hosting heterogenous control applications is not a "daydream".
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. Vol. 18, no 4, p. 30-42
Keywords [en]
Cloud computing, Automation, Computer architecture, Safety, Real-time systems, Standards, Service robots, Virtual environments, Edge computing, Heterogeneous networks, Task analysis, Virtualization, Production management
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-359542DOI: 10.1109/MIE.2024.3407051ISI: 001386685800008Scopus ID: 2-s2.0-85196739650OAI: oai:DiVA.org:kth-359542DiVA, id: diva2:1934886
Note
QC 20250205
2025-02-052025-02-052025-02-05Bibliographically approved