Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring
This study evaluates edge and cloud computing paradigms in the context of data-driven condition monitoring of rotating electrical machines. Two well-known platforms, the Raspberry Pi and Amazon Web Services Elastic Compute Cloud, are used to compare and contrast these two computing paradigms in term...
Saved in:
| Main Authors: | Chikumbutso Christopher Walani, Wesley Doorsamy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/9/5/121 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
OpenEdgeComputeFramework. A Framework for Seamless Edge-Cloud Computing
by: Andrei-Robert CAZACU
Published: (2024-01-01) -
Multiuser computation offloading for edge-cloud collaboration using submodular optimization
by: Bing LIANG, et al.
Published: (2020-10-01) -
On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture
by: Niroshinie Fernando, et al.
Published: (2025-01-01) -
Virtual Node-Driven Cloud–Edge Collaborative Resource Scheduling for Surveillance with Visual Sensors
by: Xinyang Gu, et al.
Published: (2025-01-01) -
Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
by: Carlo Mastroianni, et al.
Published: (2024-01-01)