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DataCloud: Enabling the Big Data Pipelines on the Computing Continuum

Abstract

With 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.
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Category

Academic chapter

Language

English

Author(s)

  • Titi Roman
  • Nikolay Nikolov
  • Brian Elvesæter
  • Ahmet Soylu
  • Radu Prodan
  • Dragi Kimovski
  • Andrea Marrella
  • Francesco Leotta
  • Dario Benvenuti
  • Mihhail Matskin
  • Giannis Ledakis
  • Anthony Simonet-Boulogne
  • Fernando Perales
  • Evgeny Kharlamov
  • Alexandre Ulisses
  • Arnor Solberg
  • Raffaele Ceccarelli

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • Royal Institute of Technology
  • France
  • Greece
  • Italy
  • University of Rome 'La Sapienza'
  • Portugal
  • Spain
  • Germany
  • University of Klagenfurt (AAU)
  • OsloMet - Oslo Metropolitan University
  • Tellu

Year

2021

Publisher

Springer

Book

Research Challenges in Information Science: 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021, Proceedings

ISBN

9783030750176

Page(s)

715 - 717

View this publication at Norwegian Research Information Repository