Speaker
Mr
Mario Lassnig
(CERN & University of Innsbruck, Austria)
Description
The ATLAS detector at CERN's Large Hadron Collider presents data handling requirements on an unprecedented
scale. From 2008 on the ATLAS distributed data management system (DQ2) must manage tens of petabytes of
event data per year, distributed globally via the LCG, OSG and NDGF computing grids, now known as the WLCG.
Since its inception in 2005 DQ2 has continuously managed all datasets for the ATLAS collaboration, which now
comprises over 3000 scientists participating from more than 150 universities and laboratories in more than 30
countries.
Fulfilling its primary requirement of providing a highly distributed, fault-tolerant as well as scalable architecture
DQ2 has now been successfully upgraded from managing data on a terabyte-scale to data on a petabyte-scale.
We present improvements and enhancements to DQ2 based on the increasing demands for ATLAS data
management. We describe performance issues, architectural changes and implementation decisions, the current
state of deployment in test and production as well as anticipated future improvements. Test results presented
here show that DQ2 is capable of handling data up to and beyond the requirements of full-scale data-taking.
Primary authors
Dr
Benjamin Gaidioz
(CERN)
Dr
Birger Koblitz
(CERN)
Mr
Mario Lassnig
(CERN & University of Innsbruck, Austria)
Dr
Massimo Lamanna
(CERN)
Mr
Miguel Branco
(CERN)
Mr
Pedro Salgado
(University of Texas at Arlington, USA)
Mr
Ricardo Rocha
(CERN)
Dr
Vincent Garonne
(CERN)
