SLIDE 17 ENES use case status
- Simplified view of the steps of the current adapted Use Case
1: Researcher finds data (e.g. via B2FIND) and provides a PID/URL. 2: Researcher prepares the configuration of the analysis that will be applied to the selected data using the GEF. 3: The GEF backend launches an EGI FedCloud VM and deploys a GEF
- Docker. Calculations are executed based on input parameters. Output is
stored into EGI Volume. 4: Results are sent back to B2DROP for researcher to download, or execute another GEF for further calculations or to generate a figure. (Resulting figure could be put into B2DROP.)
- So far: Automation of all steps is completed. Data comes from the
ENES/ESGF data nodes, but eventually from B2SHARE. It uses the dockerized jOCCI API for automatic instantiation of VMs.
- Next steps:
- All AAI aspects need to be revisited, as we use 3 infrastructures.
- Better integration with EUDAT B2 services; the implementation is at a
prototype stage with generic aspects still needing to be developed.
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