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Memorias de investigación
Communications at congresses:
Classification in Sparse, High Dimensional Environments Applied to Distributed Systems Failure Prediction
Year:2015
Research Areas
  • Electronic technology and of the communications
Information
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.
International
Si
Congress
International Conference on Artificial Intelligence and Soft Computing (ICAISC 2015)
960
Place
Zakopane (Polonia)
Reviewers
Si
ISBN/ISSN
978-3-319-19369-4
10.1007/978-3-319-19369-4_63
Start Date
14/06/2015
End Date
18/06/2015
From page
714
To page
726
Artificial intelligent and soft computing. 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part II
Participants
  • Autor: Jose Manuel Navarro Gonzalez (UPM)
  • Autor: Hugo Alexer Parada Gelvez (UPM)
  • Autor: Juan Carlos Dueñas Lopez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Sistemas Telemáticos para la Sociedad de la Información y el conocimiento
  • Grupo de Investigación: Sistemas de tiempo real y arquitectura de servicios telemáticos
  • Departamento: Ingeniería Telemática y Electrónica
  • Departamento: Ingeniería de Sistemas Telemáticos
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