Distributed data analysis in LHCb
S. K. Paterson, Andreas Maier · Journal of Physics Conference Series · 2008
The LHC b distributed data analysis system consists of the Ganga job submission front-end and the DIRAC Workload and Data Management System (WMS). Ganga is jointly developed with ATLAS and allows LHC b users to submit jobs on several backends including: several batch systems, LCG and DIRAC. The DIRAC API provides a transparent and secure way for users to run jobs to the Grid and is the default mode of submission for the LHC b Virtual Organisation (VO). This is exploited by Ganga to perform distributed user analysis for LHC b. This system provides LHC b with a consistent, efficient and simple user experience in a variety of heterogeneous environments and facilitates the incremental development of user analysis from local test jobs to the Worldwide LHC Computing Grid. With a steadily increasing number of users, the LHC b distributed analysis system has been tuned and enhanced over the past two years. This paper will describe the recent developments to support distributed data analysis for the LHC b experiment on WLCG.