MINDFul.jl: A Framework for Intent-driven Multi-Domain Network coordination
Filippos Christou

TL;DR
MINDFul.jl is a Julia library designed to facilitate intent-driven multi-domain network coordination research by providing modular network modeling, simulation tools, and visualization, addressing the lack of standardized tools in this emerging area.
Contribution
It introduces a comprehensive Julia framework that enables architectural and algorithmic exploration of intent-based multi-domain network coordination.
Findings
Provides a modular, stateful network modeling library
Enables event-based simulations with visualization support
Accelerates research in intent-driven network coordination
Abstract
Network coordination across multiple domains is a complex task requiring seamless communication between network entities. Network operators target to minimize costs while ensuring the requirements of the user requests. Such efforts are highly challenging in decentralized environments with diverse network operators, where only partial knowledge of the complete network is available. Intent-driven multi-domain coordination offers various benefits, some inherent to Intent-Based Networking (IBN) and others stemming from the standardization of the Northbound Interface (NBI). As standardization is still missing, there has not been a substantial initiative to develop tools that leverage this paradigm. MINDFul.jl is a Julia library that fills this gap and provides the means to accelerate research in this area, both at the architectural and the algorithmic level. It provides a stateful, modular…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Optical Network Technologies · Software-Defined Networks and 5G · Advanced Photonic Communication Systems
