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DC Field | Value | Language |
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dc.contributor.author | Bonacorsi, D | - |
dc.contributor.author | Colling, D | - |
dc.contributor.author | Field, L | - |
dc.contributor.author | Fisher, SM | - |
dc.contributor.author | Grandi, C | - |
dc.contributor.author | Hobson, PR | - |
dc.contributor.author | Kyberd, P | - |
dc.contributor.author | MacEvoy, B | - |
dc.contributor.author | Nebrensky, JJ | - |
dc.contributor.author | Tallini, H | - |
dc.contributor.author | Traylen, S | - |
dc.date.accessioned | 2014-02-18T10:18:51Z | - |
dc.date.available | 2014-02-18T10:18:51Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | IEEE Transactions on Nuclear Science, 51(6), 3026 - 3029, 2004 | en_US |
dc.identifier.issn | 0018-9499 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1369428 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/8036 | - |
dc.description | Copyright @ 2004 IEEE | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Large-scale data processing | - |
dc.subject | Relational grid monitoring architecture | - |
dc.subject | Monitoring architecture | - |
dc.subject | Scalability tests | - |
dc.title | Scalability tests of R-GMA-based grid job monitoring system for CMS Monte Carlo data production | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/TNS.2004.839094 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design/Electronic and Computer Engineering | - |
Appears in Collections: | Publications |
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