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Association rule mining on grid monitoring data to detect error sources
Error handling is a crucial task in an infrastructure as complex as a grid. There are several monitoring tools put in place, which report failing grid jobs including exit codes. However, the exit codes do not always denote the actual fault, which caused the job failure. Human time and knowledge is r...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/219/7/072041 http://cds.cern.ch/record/1270545 |