Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring

Walani, C.C. and Doorsamy, W. orcid.org/0000-0001-9043-9882 (2025) Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring. Big Data and Cognitive Computing, 9 (5). 121. ISSN 2504-2289

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Item Type: Article
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© 2025 by the authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: condition monitoring; cloud computing; edge computing; induction machine; machine learning
Dates:
  • Accepted: 6 May 2025
  • Published (online): 8 May 2025
  • Published: May 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Jul 2025 15:10
Last Modified: 07 Jul 2025 15:10
Status: Published
Publisher: MDPI
Identification Number: 10.3390/bdcc9050121
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
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