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Classification in sparse, high dimensional environments applied to distributed systems failure prediction
Cita
Navarro González, José Manuel; Parada Gélvez, Hugo Alexer y Dueñas López, Juan Carlos (2015). Classification in sparse, high dimensional environments applied to distributed systems failure prediction. En: "14th International Conference (ICAISC 2015)", 14/06/2015 - 19/06/2018, Zakopane, Poland. pp. 714-726. https://doi.org/10.1007/978-3-319-19369-4_63.
Descripción
| Título: | Classification in sparse, high dimensional environments applied to distributed systems failure prediction |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 14th International Conference (ICAISC 2015) |
| Fechas del Evento: | 14/06/2015 - 19/06/2018 |
| Lugar del Evento: | Zakopane, Poland |
| Título del Libro: | Artificial Intelligence and Soft Computing |
| Fecha: | 2015 |
| Materias: | |
| Palabras Clave Informales: | Online failure prediction, Machine learning, System management, Automatic feature selection, Logistic regression, Multivariate prediction |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Network failures are still one of the main causes of distributed systems’ lack of reliability. To overcome this problem we present an improvement over a failure prediction system, based on Elastic Net Logistic Regression and the application of rare events prediction techniques, able to work with sparse, high dimensional datasets. Specifically, we prove its stability, fine tune its hyperparameter and improve its industrial utility by showing that, with a slight change in dataset creation, it can also predict the location of a failure, a key asset when trying to take a proactive approach to failure management.
Más información
| ID de Registro: | 41934 |
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| Identificador DC: | http://oa.upm.es/41934/ |
| Identificador OAI: | oai:oa.upm.es:41934 |
| Identificador DOI: | 10.1007/978-3-319-19369-4_63 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Jul 2016 08:49 |
| Ultima Modificación: | 30 Jul 2016 08:49 |
