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BaBar MC production on the Canadian grid using a web services approach

2008; IOP Publishing; Volume: 119; Issue: 7 Linguagem: Inglês

10.1088/1742-6596/119/7/072002

1742-6596

Arun Agarwal, P. Armstrong, Ron Desmarais, Ian Gable, S. E. Popov, Simon Ramage, Sylvan J. Schaffer, Cameron Sobie, R. Sobie, T Sulivan, Daniel C. Vanderster, Gabriel Mateescu, W Podaima, André Charbonneau, Roger Impey, Mahesh Viswanathan, Darcy Quesnel,

Advanced Data Storage Technologies

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 the existing Canadian computational grid (GridX1) based on Globus Toolkit version 2 is found to be consistent.