Speaker
Dr
Gregory Dubois-Felsmann
(SLAC)
Description
The BaBar experiment currently uses approximately 4000 KSI2k on
dedicated Tier 1 and Tier 2 compute farms to produce Monte Carlo
events and to create analysis datasets from detector and Monte Carlo
events. This need will double in the next two years requiring
additional resources.
We describe enhancements to the BaBar experiment's distributed system
for the creation of skimmed analysis datasets from detector and Monte
Carlo-generated data using European LCG and US OSG Grid resources and
present the results with regard to the latest production run over
BaBar's accumulated data. The benefits of local and Grid-based
systems, the ease with which the system is managed and the challenges
of integrating the Grid with legacy software will be presented as well
as the audit and monitoring software needed to control the system on
the Grid. We compare job success rates and manageability issues
between Grid and non-Grid production and present an investigation into
the relative efficiency of the components of the Grid with particular
reference to exporting and accessing input data in a distributed
environment.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | BaBar |
|---|
Author
Dr
Gregory Dubois-Felsmann
(SLAC)
