10.1007/978-3-030-75018-3
https://zenodo.org/records/4747703
oai:zenodo.org:4747703
Roman, Dumitru
Dumitru
Roman
SINTEF AS, Trondhei, Norway
Nikolov, Nikolay
Nikolay
Nikolov
SINTEF AS, Trondhei, Norway
Elvesæter, Brian
Brian
Elvesæter
SINTEF AS, Trondhei, Norway
Soylu, Ahmet
Ahmet
Soylu
Oslo Metropolitan University, Oslo, Norway
Radu, Prodnan
Prodnan
Radu
University of Klagenfurt, Klagenfurt, Austria
Kimovski, Dragi
Dragi
Kimovski
University of Klagenfurt, Klagenfurt, Austria
Marrella, Andrea
Andrea
Marrella
Sapienza University of Rome, Rome, Italy
Leotta, Francesco
Francesco
Leotta
Sapienza University of Rome, Rome, Italy
Benvenuti, Dario
Dario
Benvenuti
Sapienza University of Rome, Rome, Italy
Matskin, Mihhail
Mihhail
Matskin
KTH Royal Institute of Technology, Stockholm, Sweden
Ledakis, Giannis
Giannis
Ledakis
UBITECH, Athens, Greece
Simonet-Boulogne, Anthony
Anthony
Simonet-Boulogne
iExec, Lyon, France
Perales, Fernando
Fernando
Perales
JOT, Madrid, Spain
Kharlamov, Evgeny
Evgeny
Kharlamov
Bosch Center for Artificial Intelligence, Renningen, Germany
Ulisses, Alexandre
Alexandre
Ulisses
MOG, Lisbon, Portugal
Solberg, Arnor
Arnor
Solberg
Tellu, Asker, Norway
Ceccarelli, Raffaele
Raffaele
Ceccarelli
Ceramica Catalano, Fabrica di Roma, Italy
DataCloud: Enabling the Big Data Pipelines on the Computing Continuum
Zenodo
2021
2021-05-10
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
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. To guarantee a better exploitation of Dark Data, the DataCloud project aims to realize novel methods and tools for effective and efficient management of the Big Data Pipeline lifecycle encompassing the Computing Continuum.
European Commission
10.13039/501100000780
101016835
ENABLING THE BIG DATA PIPELINE LIFECYCLE ON THE COMPUTING CONTINUUM