| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 4 | |
| Section | Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429504009 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429504009
Backfilling a cloud with grid jobs
Blackett Laboratory, Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
* e-mail: lcg-site-admin@imperial.ac.uk
Published online: 6 May 2024
Imperial College London hosts a large Tier-2 WLCG grid site based around a HTCondor batch system; additionally it provides cloud computing facilities using OpenStack to non-WLCG activities. These cloud resources are open to opportunistic usage provided the impact on the primary cloud users remains low.
In common with most Tier-2 sites we see constant job pressure from the WLCG VOs, while the usage of our cloud is much more intermittent. To allocate grid jobs to the available opportunistic cloud resources we implemented a lightweight backfill system based on the OpenStack Python API.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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