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dc.contributor.authorRoman, Dumitru
dc.contributor.authorNikolov, Nikolay
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorElvesæter, Brian
dc.contributor.authorSong, Hui
dc.contributor.authorProdan, Radu
dc.contributor.authorKimovski, Dragi
dc.contributor.authorMarrella, Andrea
dc.contributor.authorLeotta, Francesco
dc.contributor.authorMatskin, Mihhail
dc.contributor.authorLedakis, Giannis
dc.contributor.authorTheodosiou, Konstantinos
dc.contributor.authorSimonet-Boulogne, Anthony
dc.contributor.authorPerales, Fernando
dc.contributor.authorKharlamov, Evgeny
dc.contributor.authorUlisses, Alexandre
dc.contributor.authorSolberg, Arnor
dc.contributor.authorCeccarelli, Raffaele
dc.date.accessioned2022-03-21T08:29:16Z
dc.date.available2022-03-21T08:29:16Z
dc.date.created2022-01-13T20:55:40Z
dc.date.issued2021-12-15
dc.identifier.isbn978-1-6654-2744-9
dc.identifier.isbn978-1-6654-2745-6
dc.identifier.issn1530-1346
dc.identifier.issn2642-7389
dc.identifier.urihttps://hdl.handle.net/11250/2986343
dc.description.abstractOrganisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value creation potential. In this respect, the concept of Computing Continuum extends the traditional more centralised Cloud Computing paradigm with Fog and Edge Computing in order to ensure low latency pre-processing and filtering close to the data sources. However, there are still major challenges to be addressed, in particular related to management of various phases of Big Data processing on the Computing Continuum. In this paper, we set forth an ecosystem for Big Data pipelines in the Computing Continuum and introduce five relevant real-life example use cases in the context of the proposed ecosystem.en_US
dc.description.sponsorshipThis work was partly funded by the European Commission Horizon 2020 project “DataCloud: Enabling The Big Data Pipeline Lifecycle on the Computing Continuum” (Grant number 101016835).en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofseriesProceedings of the IEEE Symposium on Computers and Communications;2021 IEEE Symposium on Computers and Communications (ISCC)
dc.subjectBig dataen_US
dc.subjectComputing continuumsen_US
dc.subjectDark dataen_US
dc.subjectData pipelinesen_US
dc.subjectCloud-fog-edge computingen_US
dc.titleBig Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1109/ISCC53001.2021.9631410
dc.identifier.cristin1980819
dc.source.journalProceedings of the IEEE Symposium on Computers and Communicationsen_US
dc.source.volume26en_US
dc.source.issue26en_US
dc.source.pagenumber4en_US
dc.relation.projectHorisont 2020: EC/H2020/101016835en_US


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