Open Access
| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 03033 | |
| Number of page(s) | 7 | |
| Section | T3 - Distributed computing | |
| DOI | https://doi.org/10.1051/epjconf/201921403033 | |
| Published online | 17 September 2019 | |
- WLCG. http://wlcg.web.cern.ch/ Accessed 25th October 2018. [Google Scholar]
- ATLAS Collaboration. The ATLAS Experiment at the CERN Large Hadron Collider. JINST, 3:S08003 (2008) [Google Scholar]
- CMS Collaboration. The CMS Experiment at the CERN Large Hadron Collider. JINST 3:S08004 (2008) [Google Scholar]
- F. H. Barreiro Megino et al. PanDA for ATLAS Distributed Computing in the next decade. Journal of Physics: Conference Series, 898(5):052002 (2017) [Google Scholar]
- M. Barisits, T. Beermann, V. Garonne, T. Javurek, M. Lassnig, C. Serfon, The ATLAS Data Management System Rucio: Supporting LHC Run-2 and beyond,ACAT, Seattle, 2017 [Google Scholar]
- P. Love, T. G. Hartland, B. Douglas, J. Schovancová, A. Dewhurst. Object store characterisation for ATLAS distributed computing, The 23rd International Conference on Computing in High Energy and Nuclear Physics, Sofia, 2018, these proceedings (2019) [Google Scholar]
- A. Anisenkov, A. Di Girolamo, M. Alandes Pradillo. AGIS: Integration of new technologies used in ATLAS Distributed Computing.Journal of Physics: Conference Series, 898(9):092023 (2017) [CrossRef] [Google Scholar]
- A. Anisenkov et al. Computing Resource Information Catalog: the ATLAS Grid Information system evolution for other communities. The Nuclear Electronics and Computing, Montenegro, 2017 [Google Scholar]
- D. Smith et al. Sharing server nodes for storage and compute, The 23rd International Conference on Computing in High Energy and Nuclear Physics, Sofia, 2018, these proceedings (2019) [Google Scholar]
- I. Bird, S. Campana, M. Girone, X. Espinal Curull, G. McCance, J. Schovancová. Architecture and prototype of a WLCG data lake for HL-LHC, The 23rd International Conference on Computing in High Energy and Nuclear Physics, Sofia, 2018, these proceedings (2019) [Google Scholar]
- HEP Software Foundation. A Roadmap for HEP Software and Computing R…D for the 2020s. arXiv:1712.06982 (2017) [Google Scholar]
- Django web framework. https://www.djangoproject.com/ Accessed 25th October 2018. [Google Scholar]
- MySQL database. https://www.mysql.com/ Accessed 25th October 2018. [Google Scholar]
- P. Andrade, T. Bell, J. van Eldik, G. McCance, B. Panzer-Steindel, M. Coelho dos Santos, S. Traylen, U. Schwickerath. Review of CERN Data Centre Infrastructure. Journal of Physics: Conference Series, 396(4):042002 (2012) [CrossRef] [Google Scholar]
- Celery: Distributed Task Queue. http://www.celeryproject.org/ Accessed 25th October 2018. [Google Scholar]
- Redis. https://redis.io/ Accessed 25th October 2018. [Google Scholar]
- M. Cinquilli et al. CRAB3: Establishing a new generation of services for distributed analysis at CMS. Technical Report CMS-CR-2012-139, CERN (2012) [Google Scholar]
- OpenStack. https://www.openstack.org/ Accessed 25th October 2018. [Google Scholar]
- D. Thain, T. Tannenbaum, M. Livny. Distributed computing in practice: the Condor experience. Concurrency - Practice and Experience, 17(2–4):323–356 (2005) [Google Scholar]
- Puppet. https://puppet.com/ Accessed 25th, October 2018. [Google Scholar]
- Packer by Hashicorp. https://www.packer.io/ Accessed 25th October 2018. [Google Scholar]
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