Predicting Location and Time of Anomalies in Large-Scale Computing Systems via Log Mining.

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dc.contributor.advisorRainer Mueller, Chair
dc.contributor.advisorGuoliang Jin, Member
dc.contributor.advisorXipeng Shen, Member
dc.contributor.advisorMichela Becchi, Member
dc.contributor.authorDas, Anwesha
dc.date.accepted2019-07-11
dc.date.accessioned2019-07-15T12:30:57Z
dc.date.available2019-07-15T12:30:57Z
dc.date.defense2019-06-07
dc.date.issued2019-06-07
dc.date.released2019-07-15
dc.date.reviewed2019-06-18
dc.date.submitted2019-06-17
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg17712
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36800
dc.rights
dc.titlePredicting Location and Time of Anomalies in Large-Scale Computing Systems via Log Mining.

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