DocumentCode :
2724304
Title :
Large-Scale ATLAS Simulated Production on EGEE
Author :
Espinal, X. ; Barberis, D. ; Bos, K. ; Campana, S. ; Goossens, L. ; Kennedy, J. ; Negri, G. ; Padhi, S. ; Perini, L. ; Poulard, G. ; Rebatto, D. ; Resconi, S. ; de Salvo, A. ; Walker, R.
Author_Institution :
Univ. Autonoma de Barcelona, Bellaterra
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
3
Lastpage :
10
Abstract :
In preparation for first data at the LHC, a series of Data Challenges, of increasing scale and complexity, have been performed. Large quantities of simulated data have been produced on three different Grids, integrated into the ATLAS production system. During 2006, the emphasis moved towards providing stable continuous production, as is required in the immediate run-up to first data, and thereafter. Here, we discuss the experience of the production done on EGEE resources, using submission based on the gLite WMS, CondorG and a system using Condor Glide-ins. The overall walltime efficiency of around 90% is largely independent of the submission method, and the dominant source of wasted cpu comes from data handling issues. The efficiency of grid job submission is significantly worse than this, and the glide-in method benefits greatly from factorising this out.
Keywords :
data handling; grid computing; ATLAS simulated production; EGEE resources; data handling; glide-in method; grid job submission; Computational modeling; Grid computing; Laboratories; Large Hadron Collider; Large-scale systems; Linear particle accelerator; Mesons; Nuclear physics; Production systems; Protons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Science and Grid Computing, IEEE International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-0-7695-3064-2
Type :
conf
DOI :
10.1109/E-SCIENCE.2007.47
Filename :
4426865
Link To Document :
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