Publication No 40781

Author(s)

Christou, F.*; Kirstädter, A.*

Title

Using Intent Directed Acyclic Graphs in Multi-Domain IP-Optical Networks

Abstract

The global internet relies on a well-coordinated operation of distinct networking domains. This renders multi-domain networking at the heart of today?s massive digital information exchange. Although Software-Defined Networking (SDN) undoubtedly helps advance network operation within a single organization, non-centralized multi-domain networking has received less attention. To significantly advance the state of networking, we are inherently bound to provide progress and evolve the current multi-domain networking scheme. This work exploits the Intent-Based Networking (IBN) paradigm and the Directed Acyclic Graphs (DAGs) data structure to design a novel architecture for multi-domain IP-Optical networking. We highlight the benefits of our approach leading to seamless operation of non-centralized networks, such as optically transparent domain boundaries and cross-domain grooming. We evaluate this approach in a realistic scenario using our novel open-source tool MINDFul.jl, which we shortly introduce and can be broadly used for related research.

Year

2023

Reference entry

Christou, F.; Kirstädter, A.
Using Intent Directed Acyclic Graphs in Multi-Domain IP-Optical Networks
Proceedings of the 33rd International Telecommunication Networks and Applications Conference (ITNAC 2023), Melbourne, November 2023, pp. 1-4

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