Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : CEDRIC, CNAM
Durée : 4 months
Contact : elena.kornyshova@cnam.fr
Date limite de publication : 2022-04-30

Contexte :
Location : Conservatoire National des arts et Métiers, CEDRIC Lab, 2, rue Conté 75003 Paris France
Salary: gross income 1800€-1900€ per month
Duration: 4 months
Starting date: Around April 2021

Intent-Based Networking (IBN) is a growing trend allowing to take into account users’ intents by hiding details of the network objects and services [1]. It consists in specifying an additional intermediate layer between business and network layers within a networking architecture [2]. IBN is developed to support business goals and to translate them into policies implementing “What to achieve”. Thus, IBN is mainly considered as policy-based network management [3] [4] and is often related to Software Defined Network (SDN) [1] [2] [5] or Software Defined Exchange (SDX) [6] [7]. The intent consideration is done at the control level by adding an API [1] [6].

Sujet :
The number of works around IBN increases constantly. An effort to summarize research in this field was done in [2]. The authors analyze the emergence of IBN in networking standards, distinguish two levels of intents consideration: high-level descriptions and lower-level configurations, classify the existing work with regards to three layers of IBN architecture: business, intent, and network layers, and define open issues mainly related to the intent representation and introduction of Machine Learning algorithms in IBN.
Since then, several tens of papers were published on this topic (around 40 only for 2021). The goal of this project is to provide an updated state-of-the-art on the existing literature and research agenda in the field of IBN with particular attention to the intent definition, intent formalization, underlying technologies, and algorithms.

References:
1. D. Comer and A. Rastegatnia, “OSDF: An Intent-based Software Defined Network Programming Framework,” 2018 IEEE 43rd Conference on Local Computer Networks (LCN), Chicago, IL, USA, 2018, pp. 527-535. doi: 10.1109/LCN.2018.8638149
2. Engin Zeydan and Yekta Turk, “Recent Advances in Intent-Based Networking: A Survey,” 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, pp. 1-5, doi: 10.1109/VTC2020-Spring48590.2020.9128422.
3. Benjamin E. Ujcich; Adam Bates; William H. Sanders, “Provenance for Intent-Based Networking,” 2020 6th IEEE Conference on Network Softwarization (NetSoft), 2020, pp. 195-199, doi: 10.1109/NetSoft48620.2020.9165519.
4. Kashif Mehmood, H. V. Kalpanie Mendis, Katina Kralevska, Poul E. Heegaard. 2021. Intent-based Network Management and Orchestration for Smart Distribution Grids. In: 28th International Conference on Telecommunications (ICT 2021) pp. 1-6. Doi: 10.1109/ICT52184.2021.9511519
5. Mykola Beshley; Andrii Pryslupskyi; Oleksiy Panchenko; Halyna Beshley, “SDN/Cloud Solutions for Intent-Based Networking,” 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), 2019, pp. 22-25, doi: 10.1109/AIACT.2019.8847731.
6. Singh, Amritpal, Gagangeet Singh Aujla, and Rasmeet Singh Bali. 2020. “Intent-Based Network for Data Dissemination in Software-Defined Vehicular Edge Computing.” IEEE Transactions on Intelligent Transportation Systems, 1–9. https://doi.org/10.1109/TITS.2020.3002349.
7. J. Pan, McElhannon, “Future Edge Cloud and Edge Computing for Internet of Things Applications”. IEEE Internet of Things Journal 5 (1): 439–49, 2017.

Profil du candidat :
Requirements:
Master’s degree in computer science, computer engineering, or telecommunications engineering. Strong knowledge in computer networks, knowledge in information systems.

Formation et compétences requises :
To apply:
Send a detailed CV (resume) (in English), a motivation letter (in English), copy of official transcript of student record (B.Sc and M.Sc) (and translation if not in French or English), letters of reference and a copy of the master thesis and/or internship report(s) to elena.kornyshova@lecnam.net before the January 31st, 2022.

Adresse d’emploi :
2, rue Conté, Paris 75003, France