Pursuing improvements in the healthcare system is mandatory for its efficiency and cost reduction. The fast popularization of implantable and wearable sensors promotes the diversity of healthcare applications and services, ranging from real-time and critical care monitoring to telemedicine. For smart healthcare (s-health), reliability plays an essential role, given the sensitivity of its data and services. In this article, we envision an architecture based on network slicing that can provide reliability for s-health applications and services. The architecture relies on fingerprinting healthcare applications to quickly customize resources and meet the level of reliability required for each s-health application. A fingerprinting study case is presented for s-health, based on a dataset containing real traffic. Results show that application fingerprinting reaches 90 percent accuracy, assisting in network customization. Finally, we discuss the main open issues and opportunities that network slicing technology provides for s-health.

中文翻译：

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智能医疗保健的可靠性：网络切片的角度

为了提高效率和降低成本，必须对医疗保健系统进行改进。植入式和可穿戴式传感器的快速普及促进了医疗保健应用和服务的多样性，从实时，重症监护到远程医疗。对于智能医疗（s-health），鉴于其数据和服务的敏感性，可靠性起着至关重要的作用。在本文中，我们设想了一种基于网络切片的体系结构，该体系结构可以为s-health应用程序和服务提供可靠性。该体系结构依靠指纹保健应用程序来快速自定义资源，并满足每个s-health应用程序所需的可靠性级别。基于包含实际流量的数据集，提出了针对s-health的指纹研究案例。结果表明，应用程序指纹识别达到90％的准确性，有助于网络定制。最后，我们讨论了网络切片技术为s-health提供的主要开放性问题和机遇。