Quy Vu Khanh, Hau Nguyen Van, Anh Dang Van, Ngoc Le Anh
Hung Yen University of Technology and Education, Khoai Chau, Hungyen Vietnam.
Swinburne Vietnam, FPT University, Hanoi, Vietnam.
Complex Intell Systems. 2022;8(5):3805-3815. doi: 10.1007/s40747-021-00582-9. Epub 2021 Nov 17.
The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology. The advent of Cloud technology for the first time allows providing systems infrastructure as a service, platform as a service and software as a service. Cloud technology has dominated healthcare information systems for decades now. However, one limitation of cloud-based applications is the high service response time. In some emergency scenarios, the control and monitoring of patient status, decision-making with related resources are limited such as hospital, ambulance, doctor, medical conditions in seconds and has a direct impact on the life of patients. To solve these challenges, optimal computing technologies have been proposed such as cloud computing, edge computing, and fog computing technologies. In this article, we make a comparison between computing technologies. Then, we present a common architectural framework based on fog computing for Internet of Health Things (Fog-IoHT) applications. Besides, we also indicate possible applications and challenges in integrating fog computing into IoT Healthcare applications. The analysis results indicated that there is huge potential for IoHT applications based on fog computing. We hope, this study will be an important guide for the future development of fog-based Healthcare IoT applications.
人类发展的历史证明，面向人类的医疗保健应用始终是科技发展的主要驱动力。云技术的出现首次实现了将系统基础设施作为服务、平台作为服务和软件作为服务来提供。几十年来，云技术一直主导着医疗信息系统。然而，基于云的应用的一个局限性是服务响应时间长。在一些紧急情况下，对患者状态的控制和监测、利用医院、救护车、医生等相关资源进行决策在数秒内受到限制，这直接影响患者的生命。为了解决这些挑战，人们提出了诸如云计算、边缘计算和雾计算技术等优化计算技术。在本文中，我们对这些计算技术进行了比较。然后，我们提出了一种基于雾计算的健康物联网（Fog-IoHT）应用的通用架构框架。此外，我们还指出了将雾计算集成到物联网医疗保健应用中的可能应用和挑战。分析结果表明，基于雾计算的健康物联网应用具有巨大潜力。我们希望，这项研究将为基于雾的医疗物联网应用的未来发展提供重要指导。
