Open Access
Issue
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
Article Number 07017
Number of page(s) 8
Section Facilities and Virtualization
DOI https://doi.org/10.1051/epjconf/202429507017
Published online 06 May 2024
  1. Z. Ivezic et al., Astrophys. J. 873, 111 (2019) [CrossRef] [Google Scholar]
  2. D.L. Wang et al., Qserv: A Distributed Shared-Nothing Database for the LSST Catalog, in State of the Practice Reports (Association for Computing Machinery, 2011), SC ’11, ISBN 9781450311397, https://doi.org/fnk9nm [Google Scholar]
  3. Qserv: petascale distributed database, https://github.com/lsst/qserv [Google Scholar]
  4. M. Juric´, D. Ciardi, G.P. Dubois-Felsmann and L.P. Guy, LSE-319 - LSST Science Platform Vision Document (2019), Vera C. Rubin Observatory Systems Engineering Technical Note, https://lse-319.lsst.io [Google Scholar]
  5. KeyCloak, https://www.keycloak.org [Google Scholar]
  6. Kubernetes, https://kubernetes.io [Google Scholar]
  7. OpenStack, https://www.openstack.org [Google Scholar]
  8. Caddy, an open source web server, https://caddyserver.com [Google Scholar]
  9. F. Mueller et al., DMTN-243 - Qserv: A Distributed Petascale Database for the LSST Catalogs (2022), Vera C. Rubin Observatory Data Management Technical Note, https://dmtn-243.lsst.io/ [Google Scholar]
  10. sciSQL 0.3: Science tools for mysql, https://smonkewitz.github.io/scisql/ [Google Scholar]
  11. Operator Framework for kubernetes, https://operatorframework.io [Google Scholar]
  12. qserv-operator: a qserv operator for Kubernetes, https://github.com/lsst/ qserv-operator [Google Scholar]
  13. Argo Workflow a workflow engine for orchestrating parallel jobs on kubernetes, https://argoproj.github.io/argo-workflows [Google Scholar]
  14. W. O’Mullane, RTN-001 - Data Preview 0: Definition and planning. (2021), Vera C. Rubin Observatory Technical Note, https://rtn-001.lsst.io/ [Google Scholar]
  15. Q. Le Boulc’h, F. Hernandez, G. Mainetti, The Rubin Observatory’s Legacy Survey of Space and Time DP0.2 processing campaign at CC-IN2P3, in Proc. of CHEP 2023 (to appear) [Google Scholar]
  16. Firefly a browser-based interactive particle visualization app, http://firefly-viz. com [Google Scholar]
  17. Jupyter, https://jupyter.org [Google Scholar]
  18. J. Bosch et al., An Overview of the LSST Image Processing Pipelines, in Astronomical Data Analysis Software and Systems XXVII, edited by P.J. Teuben, M.W. Pound, B.A. Thomas, E.M. Warner (2019), Vol. 523 of Astronomical Society of the Pacific Conference Series, p. 521, 1812.03248 [Google Scholar]
  19. P. Dowler, G. Rixon, D. Tody, M. Demleitner, Table Access Protocol Version 1.1, IVOA Recommendation 27 September 2019 (2019), https://10.5479/ADS/bib/ 2019ivoa.spec.0927D [Google Scholar]
  20. Helm the package manager for kubernetes, https://helm.sh [Google Scholar]
  21. Phalanx a gitops repository for rubin observatory’s kubernetes environments, https://phalanx.lsst.io [Google Scholar]
  22. Phalanx, https://github.com/lsst-sqre/phalanx [Google Scholar]
  23. ArgoCD a declarative, gitops continuous delivery tool for kubernetes, https://argo-cd.readthedocs.io [Google Scholar]
  24. Gafaelfawr rsp identity management, https://github.com/lsst-sqre/ gafaelfawr [Google Scholar]
  25. R. Allbery, DMTN-224 - RSP identity management implementation strategy (2023), Vera C. Rubin Observatory Data Management Technical Note, https://dmtn-224. lsst.io/ [Google Scholar]
  26. R. Allbery, DMTN-234 - RSP identity management design (2023), Vera C. Rubin Observatory Data Management Technical Note, https://dmtn-234.lsst.io/ [Google Scholar]
  27. LDAP, https://ldap.com [Google Scholar]
  28. OpenId, https://openid.net [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.