DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rodrigues, Vinicius Facco | ko |
dc.contributor.author | Righi, Rodrigo da Rosa | ko |
dc.contributor.author | da Costa, Cristiano Andre | ko |
dc.contributor.author | Zeiser, Felipe Andre | ko |
dc.contributor.author | Eskofier, Bjoern | ko |
dc.contributor.author | Maier, Andreas | ko |
dc.contributor.author | Kim, Daeyoung | ko |
dc.date.accessioned | 2023-06-18T06:00:31Z | - |
dc.date.available | 2023-06-18T06:00:31Z | - |
dc.date.created | 2023-05-30 | - |
dc.date.created | 2023-05-30 | - |
dc.date.issued | 2023-06 | - |
dc.identifier.citation | HEALTH AND TECHNOLOGY, v.13, no.3, pp.449 - 472 | - |
dc.identifier.issn | 2190-7188 | - |
dc.identifier.uri | http://hdl.handle.net/10203/307318 | - |
dc.description.abstract | PurposeSmart 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.MethodsThis 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.ResultsAlthough 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.ConclusionsThis article details the rationale behind these topics, describing VitalSense use cases for disruptive healthcare services and preliminary insights regarding prototype evaluation. | - |
dc.language | English | - |
dc.publisher | SPRINGER HEIDELBERG | - |
dc.title | Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-85153706573 | - |
dc.type.rims | ART | - |
dc.citation.volume | 13 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 449 | - |
dc.citation.endingpage | 472 | - |
dc.citation.publicationname | HEALTH AND TECHNOLOGY | - |
dc.identifier.doi | 10.1007/s12553-023-00753-3 | - |
dc.contributor.localauthor | Kim, Daeyoung | - |
dc.contributor.nonIdAuthor | Rodrigues, Vinicius Facco | - |
dc.contributor.nonIdAuthor | Righi, Rodrigo da Rosa | - |
dc.contributor.nonIdAuthor | da Costa, Cristiano Andre | - |
dc.contributor.nonIdAuthor | Zeiser, Felipe Andre | - |
dc.contributor.nonIdAuthor | Eskofier, Bjoern | - |
dc.contributor.nonIdAuthor | Maier, Andreas | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Digital health | - |
dc.subject.keywordAuthor | Smart city | - |
dc.subject.keywordAuthor | Remote health monitoring | - |
dc.subject.keywordAuthor | Internet of things | - |
dc.subject.keywordAuthor | Fog computing | - |
dc.subject.keywordAuthor | Edge computing | - |
dc.subject.keywordPlus | INTERNET | - |
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