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

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Category

Academic article

Client

  • Research Council of Norway (RCN) / 309691
  • EC/H2020 / 101016835

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • University of Klagenfurt (AAU)
  • OsloMet - Oslo Metropolitan University
  • Royal Institute of Technology
  • University of Rome 'La Sapienza'
  • France
  • Greece
  • Bosch Center for Artificial Intelligence

Year

2022

Published in

Computer

ISSN

0018-9162

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Volume

55

Issue

11

Page(s)

74 - 84

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