Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
JCR del ISI	Si
Título de la revista	IEEE Communications Magazine
ISSN	0163-6804
Factor de impacto JCR	10,435
Información de impacto
Volumen
DOI
Número de revista
Desde la página	126
Hasta la página	131
Mes	SEPTIEMBRE
Ranking	1

Esta actividad pertenece a memorias de investigación

• Autor: Jose Manuel Navarro Gonzalez (UPM)
• Autor: Juan Carlos Dueñas Lopez (UPM)
• Autor: Javier Andion Jimenez (UPM)
• Autor: Hugo Alexer Parada Gelvez (UPM)

• Creador: Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
• Departamento: Ingeniería Telemática y Electrónica
• Departamento: Ingeniería de Sistemas Telemáticos