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http://bura.brunel.ac.uk/handle/2438/8036
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 |
URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1369428 http://bura.brunel.ac.uk/handle/2438/8036 |
DOI: | http://dx.doi.org/10.1109/TNS.2004.839094 |
ISSN: | 0018-9499 |
Appears in Collections: | Publications |
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