2013 18th International Conference on Engineering of Complex Computer Systems 2013
DOI: 10.1109/iceccs.2013.41
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Runtime Prediction of Failure Modes from System Error Logs

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Cited by 4 publications
(3 citation statements)
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“…With the prediction of the failure, this approach also forecasts the occurrence of the modes in the software at the runtime. Pitakrat [19] also presented an online failure prediction approach called Hora. Hora is an online failure prediction approach based on the components of large-scale systems.…”
Section: Related Workmentioning
confidence: 99%
“…With the prediction of the failure, this approach also forecasts the occurrence of the modes in the software at the runtime. Pitakrat [19] also presented an online failure prediction approach called Hora. Hora is an online failure prediction approach based on the components of large-scale systems.…”
Section: Related Workmentioning
confidence: 99%
“… Khatuya et al (2018) propose ADELE, a machine learning-based technique to predict functional and performance issues. Shalan & Zulkernine (2013) utilize system logs to predict failure occurrences by means of regression analysis and support vector machines. Fu et al (2012) also utilize system logs to predict failures by mining recurring event sequences that are correlated.…”
Section: Resultsmentioning
confidence: 99%
“… Russo, Succi & Pedrycz (2015) use defective and non defective sequences of events as features. Shalan & Zulkernine (2013) ’s paper, although not completely explicit about which features they used, mention CPU, memory utilization, read/write instructions, error counter, error messages, error types, and error state parameters as examples of features.…”
Section: Resultsmentioning
confidence: 99%