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dc.contributor.authorChuah, Edward
dc.contributor.authorJhumka, Arshad
dc.contributor.authorMalek, Miroslaw
dc.contributor.authorSuri, Neeraj
dc.date.accessioned2023-11-06T00:21:15Z
dc.date.available2023-11-06T00:21:15Z
dc.date.issued2022-12-29
dc.identifier224281803
dc.identifier7857116f-4542-482d-a31d-cbcbcb957a6c
dc.identifier.citationChuah , E , Jhumka , A , Malek , M & Suri , N 2022 , ' A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems ' , IEEE Access , vol. 10 , pp. 133487-133503 . https://doi.org/10.1109/ACCESS.2022.3231454en
dc.identifier.issn2169-3536
dc.identifier.otherORCID: /0000-0002-8659-1803/work/127819038
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19905
dc.descriptionACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their constructive feedback, which helped improve the paper significantlyen
dc.format.extent17
dc.format.extent1189341
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.subjectSystem log-analysisen
dc.subjectlog-correlation toolsen
dc.subjectsystematic literature reviewen
dc.subjectquality modelen
dc.subjectfailure diagnosisen
dc.subjectfailure predictionen
dc.subjectcluster systemsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleA Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systemsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Cybersecurity and Privacyen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2022.3231454
dc.identifier.vol10en


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