Stammdaten

Enabling the Big Data Pipeline Lifecycle on the Computing Continuum
Beschreibung:

DataCloud provides a novel paradigm covering the complete lifecycle of managing Big Data pipelines through discovery, design, simulation, provisioning, deployment, and adaptation across the Computing Continuum. Big Data pipelines in DataCloud interconnect the end-to-end industrial operations of collecting preprocessing and filtering data, transforming and delivering insights, training simulation models, and applying them in the cloud to achieve a business goal. DataCloud delivers a toolbox of new languages, methods, infrastructures, and prototypes for discovering, simulating, deploying, and adapting Big Data pipelines on heterogeneous and untrusted resources. DataCloud separates the design from the run- time aspects of Big Data pipeline deployment, empowering domain experts to take an active part in their definitions. The main exploitation targets the operation and monetization of the toolbox in European markets, and in the Spanish-speaking countries of Latin America. Its aim is to lower the technological entry barriers for the incorporation of Big Data pipelines in organizations’ business processes and make them accessible to a wider set of stakeholders regardless of the hardware infrastructure. DataCloud validates its plan through a strong selection of complementary business cases offered by SMEs and a large company targeting higher mobile business revenues in smart marketing campaigns, reduced production costs of sport events, trustworthy eHealth patient data management, and reduced time to production and better analytics in Industry 4.0 manufacturing. The balanced consortium consists of 11 partners from eight countries. It has three strong university partners specialised in Big Data, distributed computing, and high-productivity languages, led by a research institute. DataCloud gathers six SMEs and one large company (as technology providers and stakeholders/users/early adopters) that prioritise the business focus of the project in achieving high business impacts.

Schlagworte: Big Data pipelines, data management, high-productivity
Kurztitel: DataCloud
Zeitraum: 01.01.2021 - 31.12.2023
Kontakt-Email: radu.prodan@aau.at
Homepage: -

MitarbeiterInnen

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Grundlagenforschung
  • Angewandte Forschung
Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Finanzierung

Förderprogramm
Horizon 2020
Organisation: European Commission

Organisation: European Commission

Kooperationen

Organisation Adresse
UBITECH - ubiquitous solutions
Thessalias 8 & Etolias 10
15231 Athen
Griechenland
Thessalias 8 & Etolias 10
GR - 15231  Athen
JOT Internet Media
General Ramírez de Madrid 8
28020 Madrid
Spanien
General Ramírez de Madrid 8
ES - 28020  Madrid
MOG Technologies
Rua Eng. Frederico Ulrich 2650
4470-605 Maia
Portugal
Rua Eng. Frederico Ulrich 2650
PT - 4470-605  Maia
Ceramica Catalano S.p.A.
SP Falerina km 7,200
01034 Fabrica di Roma VT
Italien - restliches Italien
SP Falerina km 7,200
IT - 01034  Fabrica di Roma VT
Tellu IoT AS
Lensmannslia 4
1386 Asker
Norwegen
Lensmannslia 4
NO - 1386  Asker
Robert Bosch GmbH
Robert-Bosch-Platz 1
70839 Gerlingen-Schillerhöhe
Deutschland
Robert-Bosch-Platz 1
DE - 70839  Gerlingen-Schillerhöhe
STIFTELSEN SINTEF
Strindveien 4
7465 Trondheim
Norwegen
   reidar.buvik@sintef.no
Strindveien 4
NO - 7465  Trondheim
Università degli Studi di Roma “La Sapienza”
Piazzale Aldo Moro 5
00185 Rom
Italien - restliches Italien
Piazzale Aldo Moro 5
IT - 00185  Rom
KUNGLIGA TEKNISKA HOGSKOLAN
Valhallavagen 79
10044 Stockholm
Schweden
Valhallavagen 79
SE - 10044  Stockholm