Speaker
Dr
Ashok Agarwal
(University of Victoria)
Description
The present paper highlights the approach used to design and implement a web services
based BaBar Monte Carlo (MC) production grid using Globus Toolkit version 4. The grid
integrates the resources of two clusters at the University of Victoria, using the
ClassAd mechanism provided by the Condor-G metascheduler. Each cluster uses the
Portable Batch System (PBS) as its local resource management system (LRMS). Resource
brokering is provided by the Condor matchmaking process, whereby the job and resource
attributes are expressed as ClassAds. The important features of the grid are
automatic registering of resource ClassAds to the central registry, ClassAds
extraction from the registry to the metascheduler for matchmaking, and the
incorporation of input/output file staging. Web-based monitoring is employed to track
the status of grid resources and the jobs for an efficient operation of the grid. The
performance of this new grid for BaBar jobs, and a comparison with the existing
Canadian computational grid (Gridx1) based on Globus Toolkit version 2 is presented.
Primary authors
Dr
Ashok Agarwal
(University of Victoria)
Mr
Daniel Vanderster
(University of Victoria)
Mr
Ian Gable
(University of Victoria)
Dr
Randall Sobie
(University of Victoria)
Mr
Ron Desmarais
(University of Victoria)
Mr
Sergey Popov
(University of Victoria)
Mr
Tristan Sullivan
(University of Victoria)
