Classification in sparse, high dimensional environments applied to distributed systems failure prediction

Navarro González, José Manuel and Parada Gélvez, Hugo Alexer and Dueñas López, Juan Carlos (2015). Classification in sparse, high dimensional environments applied to distributed systems failure prediction. In: "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.

Description

Title: Classification in sparse, high dimensional environments applied to distributed systems failure prediction
Author/s:
  • Navarro González, José Manuel
  • Parada Gélvez, Hugo Alexer
  • Dueñas López, Juan Carlos
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th International Conference (ICAISC 2015)
Event Dates: 14/06/2015 - 19/06/2018
Event Location: Zakopane, Poland
Title of Book: Artificial Intelligence and Soft Computing
Date: 2015
Subjects:
Freetext Keywords: Online failure prediction, Machine learning, System management, Automatic feature selection, Logistic regression, Multivariate prediction
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 41934
DC Identifier: http://oa.upm.es/41934/
OAI Identifier: oai:oa.upm.es:41934
DOI: 10.1007/978-3-319-19369-4_63
Deposited by: Memoria Investigacion
Deposited on: 30 Jul 2016 08:49
Last Modified: 30 Jul 2016 08:49
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