Research Article
A Container-Based Edge Computing System for Smart Healthcare Applications
@INPROCEEDINGS{10.1007/978-3-030-77424-0_27, author={Tuan Le-Anh and Quan Ngo-Van and Phuong Vo-Huy and Dang Huynh-Van and Quan Le-Trung}, title={A Container-Based Edge Computing System for Smart Healthcare Applications}, proceedings={Industrial Networks and Intelligent Systems. 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings}, proceedings_a={INISCOM}, year={2021}, month={5}, keywords={Edge computing Cloud computing IoT Artificial intelligence Container-based virtualization Container orchestration platform}, doi={10.1007/978-3-030-77424-0_27} }- Tuan Le-Anh
Quan Ngo-Van
Phuong Vo-Huy
Dang Huynh-Van
Quan Le-Trung
Year: 2021
A Container-Based Edge Computing System for Smart Healthcare Applications
INISCOM
Springer
DOI: 10.1007/978-3-030-77424-0_27
Abstract
Edge computing is evolving how data are processed and analyzed from a large figure of various Internet of Things (IoT) devices globally. The rapid development of IoT, 5G, artificial intelligence (AI), and applications that require real-time computing capability steadily propel edge computing systems. In this paper, we propose a container-based edge computing system for smart healthcare applications. The smart care mobile and web-based applications aim to assist doctors or nurses with intelligent monitoring and caring for patients in the recovery phase in real-time. The proposed system’s design takes advantage of edge computing’s capabilities to timely deal with the patient’s facial emotion detection and heart disease diagnosis AI applications and a robust cloud computing infrastructure to centralize the patient’s data in the secure, scalable, and fault-tolerance database. Moving these AI applications to the edge outperforms cloud computing in processing time, energy efficiency, and bandwidth saving. Finally, implementing the AI applications on a lightweight container orchestration platform for management efficiency with high availability, scalability, and deployment automation.
