Software architecture for pervasive critical health monitoring system using fog computing

被引:9
作者
Ilyas, Abeera [1 ]
Alatawi, Mohammed Naif [2 ]
Hamid, Yasir [3 ]
Mahfooz, Saeed [1 ]
Zada, Islam [4 ]
Gohar, Neelam [5 ]
Shah, Mohd Asif [6 ]
机构
[1] Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan
[2] Univ Tabuk, Fac Comp & Informat Technol, Informat Technol Dept, Tabuk, Saudi Arabia
[3] Abu Dhabi Polytech, Abu Dhabi, U Arab Emirates
[4] Int Islamic Univ Islamabad, Fac Comp, Islamabad, Pakistan
[5] Shaheed Benazir Bhutto Women Univ, Peshawar, Pakistan
[6] Kebri Dehar Univ, Kebri Dehar, Ethiopia
来源
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS | 2022年 / 11卷 / 01期
关键词
CARE; IOT; INTERNET; THINGS; FRAMEWORK; DIAGNOSIS; EDGE;
D O I
10.1186/s13677-022-00371-w
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Because of the existence of Covid-19 and its variants, health monitoring systems have become mandatory, particularly for critical patients such as neonates. However, the massive volume of real-time data generated by monitoring devices necessitates the use of efficient methods and approaches to respond promptly. A fog-based architecture for IoT healthcare systems tends to provide better services, but it also produces some issues that must be addressed. We present a bidirectional approach to improving real-time data transmission for health monitors by minimizing network latency and usage in this paper. To that end, a simplified approach for large-scale IoT health monitoring systems is devised, which provides a solution for IoT device selection of optimal fog nodes to reduce both communication and processing delays. Additionally, an improved dynamic approach for load balancing and task assignment is also suggested. Embedding the best practices from the IoT, Fog, and Cloud planes, our aim in this work is to offer software architecture for IoT-based healthcare systems to fulfill non-functional needs. 4 + 1 views are used to illustrate the proposed architecture.
引用
收藏
页数:14
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