A Model-Driven and Business Approach to Autonomic Network Management
Keywords:Autonomic network management, intent-based networking
As corporate networks continue to expand, the technologies that underpin these enterprises must be capable of meeting the operational goals of the operators that own and manage them. Automation has enabled the impressive scaling of networks from the days of Strowger. The challenge now is not only to keep pace with the continuing huge expansion of capacity but at the same time to manage a huge increase in complexity – driven by the range of customer solutions and technologies.
Recent advances in automation, programmable network interfaces, and model-driven networking will provide the possibility of closed-loop, self-optimizing, and self-healing networks. Collectively these support the goals of a truly automated network, commonly understood as “autonomic networking” even though this is a prospect yet to be achieved.
This paper outlines the progress made towards autonomic networking and the framework and procedures developed during the UK Next Generation Converged Digital Infrastructure (NG-CDI) project. It outlines the operator-driven requirements and capabilities that have been identified, and proposes an autonomic management framework, and summarizes current art and the challenges that remain.
S. Dobson, S. Denazis, A. Fernández, D. Gaïti, E. Gelenbe, F. Massacci, P. Nixon, F. Saffre, N. Schmidt and F. Zambonelli. A Survey of Autonomic Communications. ACM Trans. Auton. Adapt. Syst., 1(2):223–259, Dec 2006.
Next Generation Converged Digital Infrastructure project – https://www.ng-cdi.org/
M. Bezahaf, D. Hutchison, D. King and N. Race. Internet Evolution: Critical Issues. Proceedings of the IEEE, 24(4):5–14, Jul 2020.
S. Dobson, D. Hutchison, A. Mauthe, A. Schaeffer-Filho, P. Smith and J. P. G. Sterbenz. Self-Organization and Resilience for Networked Systems: Design Principles and Open Research Issues. Proceedings of the IEEE, 107(4):819–834, 2019.
O. Babaoglu, M. Jelasity and A. Montresor. Grassroots approach to self-management in large-scale distributed systems. In Unconventional Programming Paradigms. Lecture Notes in Computer Science, vol. 3566:286–296, 2005.
O. Babaoglu, M. Jelasity, A. Montresor, A. Fetzer, C. Leonardi, S. Van Moorsel and M. Van Steen. Self-star properties in complex information systems, conceptual and practical foundations. Lecture Notes in Computer Science, vol. 3460, 2005.
D. Clark, C. Partridge, J. Ramming and J. Wroclawski. A knowledge plane for the internet. In Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications (SIGCOMM ’03), 3–10, 2003.
ITU-T Technical Specification. Network 2030 Architecture Framework FG-NET2030 – Focus Group on Technologies for Network 2030, Jun 2020.
M. Bezahaf, M. Perez Hernandez, L. Bardwell, E. Davies, M. Broadbent, D. King and D. Hutchison. Self-Generated Intent-Based System. 2019 10th International Conference on Networks of the Future (NoF), 138–140, Feb 2020.
Y. Wang, R. Forbes, U. Elzur, J. Strassner, A. Gamelas, H. Wang, S. Liu, L. Pesando, X. Yuan and S. Cai. From Design to Practice: ETSI ENI Reference Architecture and Instantiation for Network Management and Orchestration Using Artificial Intelligence. in IEEE Communications Standards Magazine, 4(3):38–45, Sep 2020.
R. Li, Z. Zhao, X. Zhou, G. Ding, Y. Chen, Z. Wang and H. Zhang. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence. in IEEE Wireless Communications, 24(5):175–183, Oct 2017.
Tayeb Ben Meriem, Ranganai Chaparadza, Benoît Radier, Said Soulhi, José-Antonio Lozano López and Arun Prakash. GANA–Generic Autonomic Networking Architecture: Reference Model for Autonomic Networking, Cognitive Networking, and Self-Management of Networks and Services. ETSI White Paper 16 (2016).
M. Behringer, M. Pritikin, S. Bjarnason, A. Clemm, B. Carpenter, S. Jiang, and L. Ciavaglia. Autonomic Networking: Definitions and Design Goals. RFC 7575, Jun 2015.