Fermilab Computing Division

CS Document 2059-v1

DZero Data-Intensive Computing on the Open Science Grid

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Submitted by:
Gabriele Garzoglio
Updated by:
Gabriele Garzoglio
Document Created:
27 Mar 2007, 15:01
Contents Revised:
27 Nov 2007, 14:49
Metadata Revised:
27 Nov 2007, 14:49
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High energy physics experiments periodically reprocess data in order to take advantage of improved understanding of the detector and the data processing code. Between February and May 2007, the DZero experiment will reprocess a substantial fraction of its dataset. This consists of half a billion events, corresponding to more than 100 TB of data, organized in 300,000 files.

The activity utilizes resources from sites around the world, including a dozen sites participating in the Open Science Grid consortium (OSG). About 1,500 jobs are run every day across the OSG, consuming and producing hundreds of Gigabytes of data. OSG computing and storage resources are coordinated by the SAM-Grid system. This system organizes job access to a complex topology of data queues and job scheduling to clusters, using a SAM-Grid to OSG job forwarding infrastructure.

For the first time in the lifetime of the experiment, a data intensive production activity is managed on a general purpose grid, such as OSG. This paper describes the implications of using OSG, where all resources are granted following an opportunistic model, the challenges of operating a data intensive activity over such large computing infrastructure, and the lesson learned throughout the few months of the project.

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Associated with Events:
CHEP2007 held on 02 Sep 2007 in Victoria, British Columbia, Canada
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