Knowledge-Defined Networking
Abstract
The research community has considered in the past the application of Artificial Intelligence (AI) techniques to control and operate networks. A notable example is the Knowledge Plane proposed by D.Clark et al. However, such techniques have not been extensively prototyped or deployed in the field yet. In this paper, we explore the reasons for the lack of adoption and posit that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of AI techniques in the context of network operation and control. We describe a new paradigm that accommodates and exploits SDN, NA and AI, and provide use cases that illustrate its applicability and benefits. We also present simple experimental results that support its feasibility. We refer to this new paradigm as Knowledge-Defined Networking (KDN).
Cite
@article{arxiv.1606.06222,
title = {Knowledge-Defined Networking},
author = {Albert Mestres and Alberto Rodriguez-Natal and Josep Carner and Pere Barlet-Ros and Eduard Alarcón and Marc Solé and Victor Muntés and David Meyer and Sharon Barkai and Mike J Hibbett and Giovani Estrada and Khaldun Ma`ruf and Florin Coras and Vina Ermagan and Hugo Latapie and Chris Cassar and John Evans and Fabio Maino and Jean Walrand and Albert Cabellos},
journal= {arXiv preprint arXiv:1606.06222},
year = {2017}
}
Comments
8 pages, 22 references, 6 figures and 1 table