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.
Highlights
The management and customization of network services have been limited by the rigidity of traditional network architectures and increasing both capital and operational expenditures
Software Defined Networking (SDN) is promoted by the Open Networking Foundation (ONF) [5], which is a non-profit organization supported by the network operators and service providers
The main goal of Monitoring and Analyzer sublayer is to provide a consistent set of components to analyze network status by the proper use of the monitoring information gathered from the running network infrastructure
Summary
The management and customization of network services have been limited by the rigidity of traditional network architectures and increasing both capital and operational expenditures. In contrast with traditional network monitoring schemas, the present framework integrates different sources within a single customizable system In this way, it is able to organize the collected information according to different criteria such as virtual instances by tenant, metrics by virtual instances, physical devices by network location, physical metrics, flow statistics by device and metrics by sensor. The proposed framework will facilitate the querying process of gathered information and the management of large amounts of data from heterogeneous data sources In this way, the data of each of these layers can be correlated to provide enhanced information of the network status such as the relation between virtual instances and their respective physical device, the physical and virtual instances where a sensor is running, information related to LTE devices, edges and locations.
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