Title: Cognitive fog for health: a distributed solution for smart city

Authors: Shu Chen; Nanxi Chen; Jiayi Tang; Xu Wang

Addresses: Watson Client Solution, IBM, Ireland ' Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, 865 Changning Road, Shanghai, China ' Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland ' Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, 865 Changning Road, Shanghai, China

Abstract: 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.

Keywords: internet of things; fog computing; application of distributed computing; smart city.

DOI: 10.1504/IJCSE.2020.107267

International Journal of Computational Science and Engineering, 2020 Vol.22 No.1, pp.30 - 38

Received: 11 Mar 2019
Accepted: 02 Jun 2019

Published online: 04 May 2020 *

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