Speaker
Rob KENNEDY
(FNAL)
Description
Most of the simulated events for the DZero experiment at Fermilab have been
historically produced by the “remote” collaborating institutions. One of the
principal challenges reported concerns the maintenance of the local software
infrastructure, which is generally different from site to site. As the understanding
of the community on distributed computing over distributively owned and shared
resources progresses, it becomes increasingly interesting the adoption of grid
technologies to address the production of montecarlo events for high energy physics
experiments. The SAM-Grid is a software system developed at Fermilab, which
integrates standard grid technologies for job and information management with SAM,
the data handling system of the DZero and CDF experiments. During the past few
months, this grid system has been tailored for the montecarlo production of DZero.
Since the initial phase of deployment, this experience has exposed an interesting
series of requirements to the SAM-Grid services, the standard middleware, the
resources and their management and to the analysis framework of the experiment. As of
today, the inefficiency due to the grid infrastructure has been reduced to as little
as 1%. In this paper, we present our statistics and the "lesson learned" in running
large high energy physics applications on a grid infrastructure.
Primary authors
A. Nishandar
(University of Texas at Arlington)
G. Garzoglio
(FERMI NATIONAL ACCELERATOR LABORATORY)
I. Terekhov
(FERMI NATIONAL ACCELERATOR LABORATORY)
J. Snow
(Langston University)
S. Jain
(University of Texas at Arlington)
