Hybrid Cloud Scaleout: Orchestrating Workloads with GitLab

EPiC series in computing, vol. 86, pp. 50–43

Abstract

The 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.

Authors 1

1. Marius Politze corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany

   RWTH Aachen University, Germany