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Title: Scalability tests of R-GMA-based grid job monitoring system for CMS Monte Carlo data production
Authors: Bonacorsi, D
Colling, D
Field, L
Fisher, SM
Grandi, C
Hobson, PR
Kyberd, P
MacEvoy, B
Nebrensky, JJ
Tallini, H
Traylen, S
Keywords: Large-scale data processing;Relational grid monitoring architecture;Monitoring architecture;Scalability tests
Issue Date: 2004
Publisher: IEEE
Citation: IEEE Transactions on Nuclear Science, 51(6), 3026 - 3029, 2004
Abstract: High-energy physics experiments, such as the compact muon solenoid (CMS) at the large hadron collider (LHC), have large-scale data processing computing requirements. The grid has been chosen as the solution. One important challenge when using the grid for large-scale data processing is the ability to monitor the large numbers of jobs that are being executed simultaneously at multiple remote sites. The relational grid monitoring architecture (R-GMA) is a monitoring and information management service for distributed resources based on the GMA of the Global Grid Forum. We report on the first measurements of R-GMA as part of a monitoring architecture to be used for batch submission of multiple Monte Carlo simulation jobs running on a CMS-specific LHC computing grid test bed. Monitoring information was transferred in real time from remote execution nodes back to the submitting host and stored in a database. In scalability tests, the job submission rates supported by successive releases of R-GMA improved significantly, approaching that expected in full-scale production.
Description: Copyright @ 2004 IEEE
ISSN: 0018-9499
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