Vis enkel innførsel

Big Data Pipelines on the Computing Continuum: Tapping the Dark Data

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.accessioned2023-03-02T15:20:53Z
dc.date.available2023-03-02T15:20:53Z
dc.date.created2022-11-11T13:24:56Z
dc.date.issued2022
dc.identifier.citationComputer. 2022, 55 (11), 74-84.en_US
dc.identifier.issn0018-9162
dc.identifier.urihttps://hdl.handle.net/11250/3055517
dc.description.abstractThe computing continuum enables new opportunities for managing big data pipelines concerning efficient management of heterogeneous and untrustworthy resources. We discuss the big data pipelines lifecycle on the computing continuum and its associated challenges, and we outline a future research agenda in this area.en_US
dc.language.isoengen_US
dc.publisherIEEEen_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
dc.source.pagenumber74-84en_US
dc.source.volume55en_US
dc.source.journalComputeren_US
dc.source.issue11en_US
dc.identifier.doi10.1109/MC.2022.3154148
dc.identifier.cristin2072491
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


Tilhørende fil(er)

Thumbnail
Filnavn:
Roman_2022_Big_data_AAM.pdf
Størrelse:
310.0Kb
Format:
PDF
Åpne

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel