Dreibholz, Thomas, Mah Rukh, Fida ORCID: 0000-0001-7660-1150, Ahmed, Azza H., Ocampo, Andres F and Michelinakis, Foicos I. (2022) A Live Demonstration of In-Band Telemetry in OSM-Orchestrated Core Networks. In: Proceedings - Conference on Local Computer Networks. 2022 IEEE 47th Conference on Local Computer Networks (LCN), 2022 . IEEE, 245 -247. ISBN 978-1-6654-8001-7
Text (Peer Reviewed Version)
11529 Dreibholz, Mah Rukh, Ahmed, Ocampo and Michelinakis (2022) A_Live_Demonstration_of_In-Band_Telemetry_in_OSM-Orchestrated_Core_Networks.pdf - Accepted Version Restricted to Repository staff only Available under License All Rights Reserved. Download (412kB) |
Abstract
Network Function Virtualization is a key enabler to building future mobile networks in a flexible and cost-efficient way. Such a network is expected to manage and maintain itself with minimum human intervention. With early deployments of the fifth generation of mobile technologies – 5G – around the world, setting up 4G/5G experimental infrastructure is necessary to optimally design Self-Organising Networks (SON). In this demo, we present a custom small-scale 4G/5G testbed. As a step towards self-healing, the testbed integrates Programming Protocol-independent Packet Processors (P4) virtual switches, that are placed along interfaces between different components of transport and core network. This demo not only shows the administration and monitoring of the Evolved Packet Core VNF components, using Open Source MANO, but also serves as a proof of concept for the potential of P4-based telemetry in detecting anomalous behaviour of the mobile network, such as a congestion in the transport part.
Item Type: | Book Section |
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Uncontrolled Keywords: | Network Function Virtualisation (NFV); Open Source MANO (OSM); P4; Telemetry; Anomaly Detection |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
Research Priority Areas: | Applied Business & Technology |
Depositing User: | Kate Greenaway |
Date Deposited: | 16 Sep 2022 16:06 |
Last Modified: | 31 Oct 2023 12:26 |
URI: | https://eprints.glos.ac.uk/id/eprint/11529 |
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