Impact of Geographical Constraints on the Performance of Intent-Based Networks
Paper in proceeding, 2024

In intent-based multilayer networks, one of the possible intents may restrict specific network nodes from routing. In particular, certain parts of the network may be subject to various malicious attacks, or, in disaggregated networks, parts of the network can be equipped with devices not aligned with the enduser business policy. In this work, we study the impact of geographical constraints on the performance of multilayer intent-based networks. To this end, we determine crucial network nodes using the k-shortest path betweenness centrality in two representative network topologies. We investigate nodes' contribution to the network performance, measured as bandwidth blocking probability. In particular, we show that even for light traffic loads, restrictions on crucial network nodes highly impact network performance, while for less important nodes, it is possible to maintain good network performance when the traffic load is light.

intent-based network

machine learning

multilayer network

Author

Aleksandra Knapinska

Wrocław University of Science and Technology

Piotr Lechowicz

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Wrocław University of Science and Technology

Krzysztof Walkowiak

Wrocław University of Science and Technology

International Conference on Transparent Optical Networks

21627339 (eISSN)


9798350377309 (ISBN)

24th International Conference on Transparent Optical Networks, ICTON 2024
Bari, Italy,

Subject Categories

Communication Systems

DOI

10.1109/ICTON62926.2024.10648185

More information

Latest update

9/24/2024