RT Journal Article
T1 Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks
A1 Valdivieso Caraguay, Ángel Leonardo
A1 García Villalba, Luis Javier
AB This paper presents the Monitoring and Discovery Framework of the Self-Organized Network Management in Virtualized and Software Defined Networks SELFNET project. This design takes into account the scalability and flexibility requirements needed by 5G infrastructures. In this context, the present framework focuses on gathering and storing the information (low-level metrics) related to physical and virtual devices, cloud environments, flow metrics, SDN traffic and sensors. Similarly, it provides the monitoring data as a generic information source in order to allow the correlation and aggregation tasks. Our design enables the collection and storing of information provided by all the underlying SELFNET sublayers, including the dynamically onboarded and instantiated SDN/NFV Apps, also known as SELFNET sensors.
PB MDPI
SN 1424-8220
YR 2017
FD 2017-03-31
LK https://hdl.handle.net/20.500.14352/19168
UL https://hdl.handle.net/20.500.14352/19168
LA eng
NO Unión Europea. Horizonte 2020
NO Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación
DS Docta Complutense
RD 4 abr 2025