Published September 27, 2019
| Version v1
Conference paper
Open
Support for HTCondor high-throughput computing workflows in the REANA reusable analysis platform
Contributors
- 1. University of Notre Dame US
-
2.
University of Warsaw
-
3.
European Organization for Nuclear Research
Description
REANA is a reusable and reproducible data analysis platform allowing researchers to structure their analysis pipelines and run them on remote containerised compute clouds. REANA supports several different workflows systems (CWL, Serial, Yadage) and uses Kubernetes' job execution backend. We have designed an abstract job execution component that extends the REANA platform job execution capabilities to support multiple compute backends. We have tested the abstract job execution component with HTCondor and verified the scalability of the designed solution. The results show that the REANA platform would be able to support hybrid scientific workflows where different parts of the analysis pipelines can be executed on multiple computing backends.
Files
CERN-IT-2019-004.pdf
Files
(323.8 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:009d41d9ae97bfc427973faecd2cd8f7
|
323.8 kB | Preview Download |
Additional details
Identifiers
- CDS
- 2696223
- CDS Report Number
- CERN-IT-2019-004
Related works
- References
- Event: 2696224 (CDS)
CERN
- Department
- IT
Conference
- Title
- san diego20190924