SOM-Based Behavioral Analysis for Virtualized Network Functions

TitleSOM-Based Behavioral Analysis for Virtualized Network Functions
Publication TypeConference Paper
Year of Publication2020
AuthorsLanciano, G, Ritacco, A, Cucinotta, T, Vannucci, M, Artale, A, Basili, L, Sposato, E, Barata, J
Conference NameProceedings of the 35th Annual ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Conference LocationNew York, NY, USA
ISBN Number9781450368667
Keywordsmachine learning, network function virtualization, self-organizing maps
Abstract

In this paper, we propose a mechanism based on Self-Organizing Maps for analyzing the resource consumption behaviors and detecting possible anomalies in data centers for Network Function Virtualization (NFV). Our approach is based on a joint analysis of two historical data sets available through two separate monitoring systems: system-level metrics for the physical and virtual machines obtained from the monitoring infrastructure, and application-level metrics available from the individual virtualized network functions. Experimental results, obtained by processing real data from one of the NFV data centers of the Vodafone network operator, highlight some of the capabilities of our system to identify interesting points in space and time of the evolution of the monitored infrastructure.
URLhttps://doi.org/10.1145/3341105.3374110
DOI10.1145/3341105.3374110
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