Objective
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.
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.
Consortium
The consortium consists of 11 partners from eight countries. It has three strong university partners specialized 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 prioritize the business focus of the project in achieving high business impacts.
SINTEF´s role in the project
DataCloud enables the Big Data pipeline lifecycle on the computing continuum. SINTEF investigates techniques for modeling Big Data pipelines and simulating pipelines on heterogenous infrastructures (Cloud-Edge) so that it is easier and cost-effective for technical and non-technical stakeholders to manage data pipelines on Cloud-Edge systems.
Project website
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016835.