Adaptive Edge-Fog Healthcare Networks Revolutionize Emergency Management
The current healthcare system struggles to respond quickly enough to provide emergency medical care, particularly in remote or densely populated areas. This is due to the system's inability to scale to adequate levels of response in real-time. To address this issue, researchers at the University of Tabuk have developed an adaptive edge-fog healthcare network framework that supports Electronic Medical Records (EMR) through a multi-layer optimized solution.
Key Takeaways:
- The framework utilizes a dynamic resource allocation algorithm to balance the computational load on edge and/or fog nodes, achieving optimal performance and preventing system failure.
- The operational environment of the framework incorporates robust and reliable methods for fault tolerance and data protection against leakage, even in low-connectivity networks or with node loss.
- The research concluded that the framework's utilization may revolutionize healthcare emergency management by offering fast, safe, and efficient data-supported assistance in various care contexts.
- The framework was tested on a large scale, demonstrating a latency reduction rate of 66.67%, an energy consumption improvement of 92%, and a reliability of 96% in failure cases.
- The framework outperforms cloud-only architectures in disaster recovery scenarios, highlighting its potential to transform emergency response management.
- Ahmed M. Alwakeel, Faculty of Computers & Information Technology, University of Tabuk, developed the framework in collaboration with other researchers.
- The framework's novel features include a dynamic resource allocation algorithm and robust fault tolerance and data protection methods.
Statistics:
- Latency reduction rate: 66.67%
- Energy consumption improvement: 92%
- Reliability in failure cases: 96%
- The framework was tested on a large scale, involving multiple nodes and scenarios.
Sources:
- University of Tabuk
- Journal of Cloud Computing: Advances, Systems and Applications
- Ahmed M. Alwakeel, Faculty of Computers & Information Technology, University of Tabuk
- "Adaptive edge-fog healthcare networks: a novel framework for emergency response management" (Journal of Cloud Computing: Advances, Systems and Applications, 2025,14(1):1-32)
- "University of Tabuk Researcher Details New Studies and Findings in the Area of Cloud Computing (Adaptive edge-fog healthcare networks: a novel framework for emergency response management)" (Information Technology Newsweekly, October 21, 2025; p 1018)