Objective
The eXtreme DataCloud (XDC) project will develop scalable technologies for federating storage resources and managing data in highly distributed computing environments. The services provided will be capable of operating at the unprecedented scale required by the most demanding, data intensive, research experiments in Europe and Worldwide. XDC will be based on existing tools (TRL8+) that the project will enrich with new functionalities and plugins already available as prototypes (TRL6). The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrastructure (EGI), the Worldwide LHC Computing Grid (WLCG) and the computing infrastructures that will be funded by the upcoming H2020 EINFRA-12 call. The main high-level topics addressed by the project include: federation of storage resources with standard protocols, smart caching solutions, policy driven data management based on Quality of Service, data lifecycle management, metadata handling and manipulation, data preprocessing and encryption during ingestion, optimized data management based on access patterns. All the developments will be driven and tested against real life use cases provided by the consortium partners representing research communities belonging to a variety of scientific domains: Life Science, Astrophysics, High Energy Physics, Photon Science and Clinical Research. The XDC software will be released as Open Source platforms available for general exploitation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencesphysical sciencesastronomyastrophysics
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
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Programme(s)
Call for proposal
(opens in new window) H2020-EINFRA-2016-2017
See other projects for this callSub call
H2020-EINFRA-2017
Funding Scheme
RIA - Research and Innovation actionCoordinator
00044 Frascati
Italy