Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks

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Valdivieso Caraguay, Ángel Leonardo and García Villalba, Luis Javier (2017) Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks. Sensors, 17 (4). p. 731. ISSN 1424-8220

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Official URL: https://doi.org/10.3390/s17040731




Abstract

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.


Item Type:Article
Uncontrolled Keywords:5G; Monitoring; NFV; SDN
Subjects:Sciences > Computer science > Software
ID Code:65912
Deposited On:01 Jun 2021 14:47
Last Modified:02 Jun 2021 07:02

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