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Authors: Tommaso Cucinotta 1 ; Giacomo Lanciano 2 ; Antonio Ritacco 1 ; Marco Vannucci 1 ; Antonino Artale 3 ; Joao Barata 4 ; Enrica Sposato 3 and Luca Basili 3

Affiliations: 1 Scuola Superiore Sant’Anna, Pisa, Italy ; 2 Scuola Superiore Sant’Anna, Pisa, Italy, Scuola Normale Superiore, Pisa, Italy ; 3 Vodafone, Milan, Italy ; 4 Vodafone, Lisbon, Portugal

Keyword(s): Self-organizing Maps, Machine Learning, Network Function Virtualization.

Abstract: In this paper, we tackle the problem of detecting anomalous behaviors in a virtualized infrastructure for network function virtualization, proposing to use self-organizing maps for analyzing historical data available through a data center. We propose a joint analysis of system-level metrics, mostly related to resource consumption patterns of the hosted virtual machines, as available through the virtualized infrastructure monitoring system, and the application-level metrics published by individual virtualized network functions through their own monitoring subsystems. Experimental results, obtained by processing real data from one of the NFV data centers of the Vodafone network operator, show that our technique is able to identify specific points in space and time of the recent evolution of the monitored infrastructure that are worth to be investigated by a human operator in order to keep the system running under expected conditions.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cucinotta, T.; Lanciano, G.; Ritacco, A.; Vannucci, M.; Artale, A.; Barata, J.; Sposato, E. and Basili, L. (2020). Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-424-4; ISSN 2184-5042, SciTePress, pages 150-160. DOI: 10.5220/0009420901500160

@conference{closer20,
author={Tommaso Cucinotta. and Giacomo Lanciano. and Antonio Ritacco. and Marco Vannucci. and Antonino Artale. and Joao Barata. and Enrica Sposato. and Luca Basili.},
title={Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach},
booktitle={Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER},
year={2020},
pages={150-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009420901500160},
isbn={978-989-758-424-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER
TI - Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach
SN - 978-989-758-424-4
IS - 2184-5042
AU - Cucinotta, T.
AU - Lanciano, G.
AU - Ritacco, A.
AU - Vannucci, M.
AU - Artale, A.
AU - Barata, J.
AU - Sposato, E.
AU - Basili, L.
PY - 2020
SP - 150
EP - 160
DO - 10.5220/0009420901500160
PB - SciTePress