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Unveiling the Features of Network Dynamics: A Data-Oriented Approach

Lu, S; Tuncer, D; Clayman, S; (2020) Unveiling the Features of Network Dynamics: A Data-Oriented Approach. In: Proceedings of NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. IEEE: Budapest, Hungary. Green open access

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Abstract

The ability to predict network dynamics is a challenging problem for communication providers as this can have an impact on the performance of the applications running on top of their infrastructure. In this paper we use a data-driven approach to investigate whether observing the variation of the connectivity properties of a network over time can provide insights onto the occurrence of network topological changes. In that direction, we propose a methodology to model various patterns of network dynamics and develop a user-configurable software tool enabling the collection of network connectivity metric data for any type of communication network topology and based on a wide range of dynamics patterns. We use our tool to constitute a dataset of network connectivity metric samples based on 126 real network topologies and 15 different types of dynamics patterns. The analysis performed based on the obtained dataset shows that identifying how connectivity metrics vary has potential for characterizing network topological changes.

Type: Proceedings paper
Title: Unveiling the Features of Network Dynamics: A Data-Oriented Approach
Event: NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium
ISBN-13: 9781728149738
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NOMS47738.2020.9110306
Publisher version: http://dx.doi.org/10.1109/NOMS47738.2020.9110306
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10109694
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