Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Root Cause Analysis of Network Failures Using Machine Learning and Summarization Techniques.
Year:2017
Research Areas
  • Engineering,
  • Electronic technology and of the communications
Information
Abstract
Root cause analysis includes the methods to identify the sources of errors in a network. Most techniques rely on knowledge models of the system, which are usually built by using network operators' expertise. This presents problems related to knowledge extraction, scalability, and understandability. We propose an offline method based on machine learning techniques for the automatic identification of dependencies between system events, enhanced with summarization, operations on graphs, and visualization that help network operators identify the root causes of errors. We illustrate it with examples from a corporate network.
International
Si
JCR
Si
Title
Ieee Communications Magazine
ISBN
0163-6804
Impact factor JCR
10,435
Impact info
Datos JCR del año 2016
Volume
55
Journal number
From page
126
To page
131
Month
SEPTIEMBRE
Ranking
Participants
  • Autor: Jose Manuel Navarro Gonzalez (UPM)
  • Autor: Javier Andion Jimenez (UPM)
  • Autor: Juan Carlos Dueñas Lopez (UPM)
  • Autor: Hugo Alexer Parada Gelvez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería de Sistemas Telemáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)