IEEE Conference on Network Function Virtualization and Software Defined Networks
14–16 November 2022 // Chandler, AZ, USA

Availability of NFV infrastructures: methodologies, guidelines, and tools.

Presenters: Mario Di Mauro (Univ. Salermo),  Fabio Postiglione, (Univ. Salermo)  Giovanni Galatro (Univ. Salermo),  Marco Tambasco (Univ. Salermo)


The tutorial is intended to present methodologies, guidelines, and tools useful to deal with the availability of modern networks relying on the Network Function Virtualization paradigm.
In the classic network scenarios, the availability concepts are not new and the steady-state availability in long runs is useful to define the amount of time a network infrastructure is fully operational. Such a metric is crucial to specify the Service Level Agreements (SLAs) and is typically quantified through the number of “nines”. For instance, 0.99999 or five nines steady-state availability (commonly known as “high availability”) means that a given service can be unavailable for no more than 5 minutes and 15 seconds per year. Such concepts assume a new and interesting meaning in the field of virtualized networks, where a network node becomes an entity where hardware (namely, the physical equipment) and software (namely, the logical functionality) are decoupled. Moreover, new network structures such as the network service chains (namely, a set of chained nodes able to provide a specific service) add further complexity, since a chain is available if and only if all the nodes which belong to the chain are available. The tutorial is composed of: i) a theoretical part where some definitions and basic concepts (e.g., Continuous-Time Markov Chains, Multi-State System model, etc.) useful to deal with availability problems will be conveniently recalled; ii) a research part, where we will show some interesting and challenging applications of availability techniques to the NFV-based architectures; iii) a practical part, where some tools and frameworks to deal with the availability issues of NFV networks will be presented.



Mario Di Mauro is an Assistant Professor of Telecommunications at the University of Salerno. He received his Master’s degree in Electronics and his Ph.D. degree in Information Engineering from Univ. Of Salerno in 2005 and 2018, respectively. From 2007 to 2012 he was with Research Consortium on Telecommunications (formerly Ericsson Lab Italy) as an industrial researcher. He has been involved in a number of national and European projects mainly focused on next-generation networking systems. He is Senior Member IEEE, IEEE Com Soc Member, IEEE SPS Member, and CNIT (Italian Consortium on Telecommunication) Member. He is Series Editor for Signals and Communication Technology (Springer), and Associate Editor for the International Journal of Network Management (John Wiley & Sons). His main research interests include 5G network management, network availability and security, data analysis for telco infrastructures, statistical modeling of networktraffic, AI/ML for networking.

Fabio Postiglione is currently Associate Professor of Applied Statistics at the University of Salerno. He received his Master’s degree (5years, summa cum laude) in Electronics and his Ph.D. degree in Information Engineering from University of Salerno in 1999 and 2005, respectively. He is/was involved in several EU-funded FP7/H2020 research projects on degradation analysis, lifetime estimation and diagnosis of fuel cells. He is member of the Italian Statistical Society (SIS), the Italian Consortium on Telecommunication (CNIT), and the LIGO-VIRGO Collaboration (devoted to gravitational waves data analysis). He is an Associate Editor of Analytics (MDPI) and Guest Editor for the special issue “Statistical Approaches for Reliability of Future Communication Systems and Networks” (Electronics, MDPI). His main research interests include Bayesian statistics, degradation processes and lifetime estimation, reliability and availability evaluation of complexs ystems (telecommunication networks, fuelcells). He has authored over 120 papers, mainly published in international journals.


Giovanni Galatro is a Cloud Engineer at IBM, with a focus on cloud migration and cloud native applications. He received his Master’s degree in Computer Engineering with honors from University of Salerno in 2018. In 2018 he was a Research contractor at University of Salerno, with focus on availability of virtualized services, next-generation networking systems (5G), machine learning applied to network intrusion detection. Later, he worked as Software Engineer focused on cloud at Contentwise Ltd. And as Cloud support Engineer at Amazon AWS in Dublin (IR). He is AWS Developer associate, OCI solution architect and Red Hat container specialist. His main research interests include 5G network reliability, data analysis and Machine Learning for networking.


Marco Tambasco received his Master’s degree in Electronics from University of Salerno in 2010, and the PhD degree in Information Engineering in 2021, from the same University. He joined CoRiTeL (Research Consortium on Telecommunications) in 2011 and he is now an industrial researcher for Ericsson Telecommunications where he is mainly involved in design and test of containeirized network applications. His main research interests include networks analysis and design, availability and security of cloud-based telecommunication systems (NFV/SDN), 5G networks tests. 

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