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A Machine Learning Framework for Job Failure Prediction in ..:
, In:
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)
,
Vani, K.
;
Sujatha, S.
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICATIECE56365.2022.10047809
RT T1 <cTitle>2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)</cTitle>: T1 <Title>A Machine Learning Framework for Job Failure Prediction in Cloud using Hyper Parameter Tuned MLP</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10047809&Exemplar=1&LAN=DE A1 Vani, K. A1 Sujatha, S. YR 2022 K1 Cloud computing K1 Fault tolerance K1 Fault tolerant systems K1 Machine learning K1 Predictive models K1 Multilayer perceptrons K1 Feature extraction K1 Task termination status K1 Feature selection K1 fault tolerance K1 machine learning feature importance SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICATIECE56365.2022.10047809 DO https://doi.org/10.1109/ICATIECE56365.2022.10047809 SF ELIB - SuUB Bremen
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