Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud.

Autor: Rodrigues VF; Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil., da Rosa Righi R; Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil., da Costa CA; Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil., Zeiser FA; Friedrich-Alexander-Universität Erlangen-Nürenberg (FAU), Erlangen, Germany., Eskofier B; Friedrich-Alexander-Universität Erlangen-Nürenberg (FAU), Erlangen, Germany., Maier A; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea., Kim D; Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.; Friedrich-Alexander-Universität Erlangen-Nürenberg (FAU), Erlangen, Germany.; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
Jazyk: angličtina
Zdroj: Health and technology [Health Technol (Berl)] 2023; Vol. 13 (3), pp. 449-472. Date of Electronic Publication: 2023 Apr 27.
DOI: 10.1007/s12553-023-00753-3
Abstrakt: Purpose: Smart cities that support the execution of health services are more and more in evidence today. Here, it is mainstream to use IoT-based vital sign data to serve a multi-tier architecture. The state-of-the-art proposes the combination of edge, fog, and cloud computing to support critical health applications efficiently. However, to the best of our knowledge, initiatives typically present the architectures, not bringing adaptation and execution optimizations to address health demands fully.
Methods: This article introduces the VitalSense model, which provides a hierarchical multi-tier remote health monitoring architecture in smart cities by combining edge, fog, and cloud computing.
Results: Although using a traditional composition, our contributions appear in handling each infrastructure level. We explore adaptive data compression and homomorphic encryption at the edge, a multi-tier notification mechanism, low latency health traceability with data sharding, a Serverless execution engine to support multiple fog layers, and an offloading mechanism based on service and person computing priorities.
Conclusions: This article details the rationale behind these topics, describing VitalSense use cases for disruptive healthcare services and preliminary insights regarding prototype evaluation.
Competing Interests: Competing interestsNot Applicable.
(© The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
Databáze: MEDLINE
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