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dc.contributor.authorRoman, Dumitru
dc.contributor.authorProdan, Radu
dc.contributor.authorNikolov, Nikolay
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorMatskin, Mihhail
dc.contributor.authorMarrella, Andrea
dc.contributor.authorKimovski, Dragi
dc.contributor.authorElvesæter, Brian
dc.contributor.authorSimonet-Boulogne, Anthony
dc.contributor.authorLedakis, Giannis
dc.contributor.authorSong, Hui
dc.contributor.authorLeotta, Francesco
dc.contributor.authorKharlamov, Evgeny
dc.date.accessioned2023-02-06T09:58:45Z
dc.date.available2023-02-06T09:58:45Z
dc.date.created2022-11-11T13:24:56Z
dc.date.issued2022-10-25
dc.identifier.citationComputer. 2022, 55 (11), 74-84.en_US
dc.identifier.issn0018-9162
dc.identifier.issn1558-0814
dc.identifier.urihttps://hdl.handle.net/11250/3048498
dc.description.abstractBig Data pipelines are essential for leveraging Dark Data, i.e., data collected but not used and turned into value. However, tapping their potential requires going beyond existing approaches and frameworks for Big Data processing. The Computing Continuum enables new opportunities for managing Big Data pipelines concerning efficient management of heterogeneous and untrustworthy resources. This article discusses the Big Data pipelines lifecycle on the Computing Continuum, its associated challenges and outlines a future research agenda in this area.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesComputer;Volume: 55, Issue: 11
dc.subjectPipelinesen_US
dc.subjectBig Dataen_US
dc.subjectData integrityen_US
dc.subjectDatabase systemsen_US
dc.subjectInformation integrityen_US
dc.titleBig Data Pipelines on the Computing Continuum: Tapping the Dark Dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.doihttps://doi.org/10.1109/MC.2022.3154148
dc.identifier.cristin2072491
dc.source.journalComputeren_US
dc.source.volume55en_US
dc.source.issue11en_US
dc.source.pagenumber12en_US


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