A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum
Developing and managing complex IoT–Edge–Cloud Continuum (IECC) systems are challenging due to the system complexity and diversity. Internet of Things (IoT), Edge, and Cloud components combined with artificial intelligence (AI) in data processing systems must ensure strong security and privacy for d...
Saved in:
| Main Authors: | Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied System Innovation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-5577/7/6/130 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework
by: Kostas Petrakis, et al.
Published: (2025-04-01) -
Towards a Definition of Computing Continuum
by: Pablo Josue Rojas Yepes, et al.
Published: (2025-07-01) -
The Internet of Things, Fog, and Cloud Continuum: Integration Challenges and Opportunities for Smart Cities
by: Rodger Lea, et al.
Published: (2025-06-01) -
From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI
by: Ilenia Ficili, et al.
Published: (2025-03-01) -
Securing Cloud-Based Internet of Things: Challenges and Mitigations
by: Nivedita Singh, et al.
Published: (2024-12-01)