Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/30479
DC FieldValueLanguage
dc.contributor.authorRistov, Sashkoen_US
dc.contributor.authorGusev, Marjanen_US
dc.contributor.authorHohenegger, Arminen_US
dc.contributor.authorProdan, Raduen_US
dc.contributor.authorMileski, Dimitaren_US
dc.contributor.authorGushev, Panoen_US
dc.contributor.authorTemelkov, Goranen_US
dc.date.accessioned2024-06-07T09:17:45Z-
dc.date.available2024-06-07T09:17:45Z-
dc.date.issued2023-08-18-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/30479-
dc.description.abstractIn this article, we explore a novel architecture for distributing health monitoring computations over distributed cloud regions, both for constantly online patients and offline for several hours daily. We propose a conceptual architecture for a use-case example capable of processing thousands of simultaneous incoming streams with electrocardiogram signals.en_US
dc.publisherIEEEen_US
dc.relation.ispartofComputeren_US
dc.titleServerless electrocardiogram stream processing in federated clouds with lambda architectureen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Show simple item record

Page view(s)

19
checked on Jul 6, 2024

Download(s)

7
checked on Jul 6, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.