Speaker
Mr
Stuart Paterson
(University of Glasgow / CPPM, Marseille)
Description
DIRAC is the LHCb Workload and Data Management system for Monte Carlo simulation,
data processing and distributed user analysis. Using DIRAC, a variety of resources
may be integrated, including individual PC's, local batch systems and the LCG grid.
We report here on the progress made in extending DIRAC for distributed user analysis
on LCG. In this paper we describe the advances in the workload management paradigm
for analysis with computing resource reservation by means of Pilot Agents. This
approach allows DIRAC to mask any inefficiencies of the underlying Grid from the user
thus increasing the effective performance of the distributed computing system. The
modular design of DIRAC at every level lends the system intrinsic flexibility. The
possible strategy for the evolution of the system will be discussed.
The DIRAC API consolidates new and existing services and provides a transparent and
secure way for users to submit jobs to the Grid. Jobs find their input data by
interrogating the LCG File Catalogue which the LCG Resource Broker also uses to
determine suitable destination sites. While it may be exploited directly by users, it
also serves as the interface for the GANGA Grid front-end to perform distributed user
analysis for LHCb.
DIRAC has been successfully used to demonstrate distributed data analysis on LCG for
LHCb. The system performance results are presented and the experience gained is
discussed.
Primary authors
Dr
Andrei Tsaregorodtsev
(CPPM, Marseille)
Mr
Stuart Paterson
(University of Glasgow / CPPM, Marseille)
