Software-Defined Networks (SDN) make network control and management more flexible and intelligent. They represent a first step towards autonomous IP networks (“self-driving networks”) which consist in completely automated networks optimizing user experience or intents (also referred to as “Intent-Driven Networking (IDN)”). The predominance of software enable the extensive use of learning (ML/AI) and optimization (OR) techniques, previously reserved for offline planning. In this context, network controllers can benefit from significant computing power and a large amount of data to adapt the configuration of equipments at different time scales. Thus, controllers are able to analyze and predict traffic, predict network behavior and anticipate user experience, as well as to solve large-scale optimization problems (combinatorial, stochastic, robust) in an evolving environment. This transformation of network architectures is a good opportunity for the Operations Research (OR) community and the Network and Distributed Systems community to jointly provide answers to the many issues raised by this new paradigm.

This day aims at providing a forum for researchers to discuss and address the challenges related to the topics mentioned below. Submissions consist in a title + short abstract proposal for 30min talks. They should be sent at netopt2022@gmail.com. They can be on already published work or work in progress. The participation of PhD candidates is highly welcome. There won’t be formal proceedings.