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dc.contributor.authorNikolov, Nikolay Vladimirov
dc.contributor.authorSolberg, Arnor
dc.contributor.authorProdan, Radu
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorMatskin, Mihhail
dc.contributor.authorRoman, Dumitru
dc.date.accessioned2024-02-06T13:06:59Z
dc.date.available2024-02-06T13:06:59Z
dc.date.created2023-11-08T11:56:00Z
dc.date.issued2023
dc.identifier.citationComputer. 2023, 56 (10), 40-48.en_US
dc.identifier.issn0018-9162
dc.identifier.issn1558-0814
dc.identifier.urihttps://hdl.handle.net/11250/3115945
dc.description.abstractDiagnosing, treatment, and follow-up care of patients is happening increasingly through telemedicine, especially in remote areas where direct interaction is hindered. Over the past three years, following the COVID-19 pandemic, the utility of remote patient care has been further field-tested. Tackling the technical challenges of a growing demand for telemedicine requires a convergence of several fields: 1) software solutions for reliable, secure, and reusable data processing, 2) management of hardware resources (at scale) on the Cloud/Fog/Edge Computing Continuum, and 3) automation of DevOps processes for deployment of digital healthcare solutions with patients. In this context, the emerging concept of big data pipelines provides relevant solutions and is one of the main enablers. In what follows, we present a data pipeline for remote patient monitoring and show a real-world example of how data pipelines help address the stringent requirements of telemedicine.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesComputer;
dc.titleContainer-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoringen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.doihttp://dx.doi.org/10.1109/MC.2023.3285414
dc.identifier.cristin2193843
dc.source.journalComputeren_US
dc.source.volume56en_US
dc.source.issue10en_US
dc.source.pagenumber9en_US
dc.relation.projectNorges forskningsråd: 323325en_US


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