dc.contributor.author | Skutlaberg, Erlend Lauvås | |
dc.date.accessioned | 2024-08-23T00:02:46Z | |
dc.date.available | 2024-08-23T00:02:46Z | |
dc.date.issued | 2024-06-03 | |
dc.date.submitted | 2024-06-03T10:07:03Z | |
dc.identifier | PROG399 0 O ORD 2024 VÅR | |
dc.identifier.uri | https://hdl.handle.net/11250/3147680 | |
dc.description.abstract | This paper researches the possibility of utilizing machine learning to locate
factors contributing to a failing job at the ALICE grid, focusing on the grid
site at the University of Bergen. A prototype system has been developed
for data collection, management, analysis, and machine learning. The anal-
ysis data originates from the ALICE monitoring system, MonaLISA, and its
grid middleware JAliEn. A custom transformer model is utilized in the re-
search, which addresses memory constraints in the project test environment
by processing subsets of the complete input related to a job execution at a
time. | |
dc.language.iso | eng | |
dc.publisher | The University of Bergen | |
dc.rights | Copyright the Author. All rights reserved | |
dc.title | From Data to Decisions: ML-Based Job Failure Analysis for the ALICE experiment | |
dc.type | Master thesis | |
dc.date.updated | 2024-06-03T10:07:03Z | |
dc.rights.holder | Copyright the Author. All rights reserved | |
dc.description.degree | Masteroppgave i Programvareutvikling samarbeid med HVL | |
dc.description.localcode | PROG399 | |
dc.description.localcode | MAMN-PROG | |
dc.subject.nus | 754199 | |
fs.subjectcode | PROG399 | |
fs.unitcode | 12-12-0 | |