dc.contributor.author | Roman, Dumitru | |
dc.contributor.author | Prodan, Radu | |
dc.contributor.author | Nikolov, Nikolay | |
dc.contributor.author | Soylu, Ahmet | |
dc.contributor.author | Matskin, Mihhail | |
dc.contributor.author | Marrella, Andrea | |
dc.contributor.author | Kimovski, Dragi | |
dc.contributor.author | Elvesæter, Brian | |
dc.contributor.author | Simonet-Boulogne, Anthony | |
dc.contributor.author | Ledakis, Giannis | |
dc.contributor.author | Song, Hui | |
dc.contributor.author | Leotta, Francesco | |
dc.contributor.author | Kharlamov, Evgeny | |
dc.date.accessioned | 2023-03-02T15:20:53Z | |
dc.date.available | 2023-03-02T15:20:53Z | |
dc.date.created | 2022-11-11T13:24:56Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Computer. 2022, 55 (11), 74-84. | en_US |
dc.identifier.issn | 0018-9162 | |
dc.identifier.uri | https://hdl.handle.net/11250/3055517 | |
dc.description.abstract | The 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.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Big Data Pipelines on the Computing Continuum: Tapping the Dark Data | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 74-84 | en_US |
dc.source.volume | 55 | en_US |
dc.source.journal | Computer | en_US |
dc.source.issue | 11 | en_US |
dc.identifier.doi | 10.1109/MC.2022.3154148 | |
dc.identifier.cristin | 2072491 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |