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dc.contributor.authorRoman, Dumitru
dc.contributor.authorNikolov, Nikolay
dc.contributor.authorElvesæter, Brian
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorProdan, Radu
dc.contributor.authorKimovski, Dragi
dc.contributor.authorMarrella, Andrea
dc.contributor.authorLeotta, Francesco
dc.contributor.authorBenvenuti, Dario
dc.contributor.authorMatskin, Mihhail
dc.contributor.authorLedakis, Giannis
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.accessioned2022-04-20T11:19:36Z
dc.date.available2022-04-20T11:19:36Z
dc.date.created2022-02-11T14:19:14Z
dc.date.issued2021-05
dc.identifier.isbn978-3-030-75017-6
dc.identifier.isbn978-3-030-75018-3
dc.identifier.issn1865-1348
dc.identifier.issn1865-1356
dc.identifier.urihttps://hdl.handle.net/11250/2991607
dc.description.abstractWith the recent developments of Internet of Things (IoT) and cloud-based technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate much more data than they are able to interpret, and current Cloud Computing technologies cannot fully meet the requirements of the Big Data processing applications and their data transfer overheads. Many data are stored for compliance purposes only but not used and turned into value, thus becoming Dark Data, which are not only an untapped value, but also pose a risk for organizations.en_US
dc.description.sponsorshipThis work has been supported by the Horizon 2020 project DataCloud (Grant number 101016835).en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofResearch Challenges in Information Science: 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021, Proceedings
dc.relation.ispartofseriesLecture Notes in Business Information Processing;Volume 415
dc.relation.urihttps://zenodo.org/record/4747703
dc.subjectData pipelinesen_US
dc.subjectInternet of Thingsen_US
dc.subjectCloud-based technologiesen_US
dc.titleDataCloud: Enabling the Big Data Pipelines on the Computing Continuumen_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-030-75018-3_52
dc.identifier.cristin2000575
dc.source.journalLecture Notes in Business Information Processingen_US
dc.source.volume415en_US
dc.source.issue415en_US
dc.source.pagenumber715-717en_US
dc.relation.projectEC/H2020/101016835en_US


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