Download PDFOpen PDF in browserHybrid Cloud Scaleout: Orchestrating Workloads with GitLab6 pages•Published: September 20, 2022AbstractThe project The FAIR Data Spaces project aims to create a common cloud-based data space for industry and research by connecting services already created in Gaia-X, IDS, NFDI and EOSC, and demonstrates this in its own demonstrators. The demonstrator FAIR Data Quality Analysis and Workflows is giving researchers a platform to define and run workflows for FAIR data, the demonstrator aims to serve as a showcase for a hybrid cloud scale-out scenario. While running user defined workflows on research data stored in git repositories, the essence of the demonstrator is hiding the technical complexity of the hybrid cloud scale-out that is needed to supply the computational power for running the workflow steps. In order to achieve this the demonstrator uses state-of- the-art cloud technologies combined with the most recent developments from the Gaia- X frameworks.Keyphrases: fair data, hybrid cloud, open data, open science, public cloud, reproducibility, scale out In: Jean-François Desnos, Ramin Yahyapour and Raimund Vogl (editors). Proceedings of EUNIS 2022 – The 28th International Congress of European University Information Systems, vol 86, pages 50-55.
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