健康认知雾:智慧城市分布式解决方案

Shu Chen, Nanxi Chen, Jiayi Tang, Xu Wang
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引用次数: 3

摘要

物联网(IoT)连接城市地区的众多物理设备来实现智慧城市,健康监测已成为智慧城市中最有前途的应用领域。然而,目前的健康监测解决方案严重依赖于基于云的数据中心来整合数据,这使得城市的机密数据和用户的私人信息面临泄露的风险。雾计算作为云计算的延伸,由于其对本地数据的安全性和对时间敏感应用的友好性,在物联网社区引起了广泛的关注。本文采用雾计算的范式,提出了健康认知雾(CFH)来解决现实场景中估算城市水平健康影响的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive fog for health: a distributed solution for smart city
The internet of things (IoT) connects numerous physical devices in urban areas to implement smart cities, and health monitoring has emerged as the most promising application area in such cities. However, the current health monitoring solution heavily relies on cloud-based data centres to integrate data, which put the city's confidential data and user's private information at risk of leakage. Fog computing as an extension of cloud computing has attracted lots of attention in the IoT community, for its safety to local data and friendliness to time-sensitive applications. This article adopts the paradigm of fog computing and proposes the cognitive fog for health (CFH) to address the requirement of estimating urban-level health impact in the real-world scenario.
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