EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||8|
|Section||T3 - Distributed computing|
|Published online||17 September 2019|
- The CMS Collaboration, “The CMS experiment at the CERN LHC”, JINST 3, S08004(2008), doi 10.1088/1748-0221/3/08/S08004 [Google Scholar]
- I. Bird, “Computing for the Large Hadron Collider”, Annual Review of Nuclear and Particle Science, 61:99–118 (2011), doi 10.1146/annurev-nucl-102010-130059 [CrossRef] [Google Scholar]
- I. Sfiligoiet al. “The Pilot Way to Grid Resources Using glideinWMS”, WRI World Congress on Computer Science and Information Engineering, Vol. 2 428-432 (2009) [CrossRef] [Google Scholar]
- D. Thain, T. Tannenbaum, and M. Livny, “Distributed Computing in Practice: The Condor Experience“, Concurrency and Computation: Practice and Experience, Vol. 17, No. 2-4, pages 323-356, February-April, (2005). [CrossRef] [Google Scholar]
- J. Letts et al. “Improving the Scheduling Efficiency of a Global Multi-core HTCondor Pool in CMS”, to be published in these proceedings. [Google Scholar]
- A. Perez-Calero Yzquierdo et al. “Exploring GlideinWMS and HTCondor scalability frontiers for an expanding CMS Global Pool”, to be published in these proceedings. [Google Scholar]
- M. Mascheroni et al. "CMS distributed data analysis with CRAB3", J. Phys.: Conf. Ser. 664 062038 (2015) [CrossRef] [Google Scholar]
- J. Balcas et al. “HTTP as a Data Access Protocol: Trials with XrootD in CMS’s AAA Project”, J. Phys.: Conf. Ser. 898 062042 (2017) [CrossRef] [Google Scholar]
- M. Aderholz et al. “Models of Networked Analysis at Regional Centres for LHC Experiments (MONARC) - Phase 2 Report”, CERN-LCB-2000-001 (2000). [Google Scholar]
- C. Grandi et al. “The CMS Computing Model”, CERN-LHCC-2004-035, CMS-NOTE-2004-031, LHCC-G-083. [Google Scholar]
- C. Grandi et al. “CMS computing model evolution”, J. Phys.: Conf. Ser. 513 032039(2014) [CrossRef] [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.