A Model-Driven and Business Approach to Autonomic Network Management





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.


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Author Biographies

Mehdi Bezahaf, Lancaster University, United Kingdom

Mehdi Bezahaf is a Senior Research Associate at Lancaster University. He received his Ph.D. degree from Sorbonne Université in 2010. With a demonstrated history of working in academia and industry, his research interests include experimental networking, mobility management, wireless networks, Internet architecture, and network virtualization. Mehdi is also an active researcher and contributor to open Internet standards, including the IRTF, IETF, and ITU.

Stephen Cassidy, British Telecom, London, United Kingdom

Stephen Cassidy MA MInstP CEng FIET is a Senior Manager at BT Applied Research, interested in the relationship between people, information technology and organisational structure, and how they determine enterprise culture and effectiveness. This combines research into AI, data-driven decision tools, self-learning systems, human behaviour and culture. He lectures on MBA programmes and serves on several advisory boards. He has published over 60 papers, holds a similar number of patents, and is a winner of the Queen’s Award for Industry.

David Hutchison, Lancaster University, United Kingdom

David Hutchison is Professor of Computing at Lancaster University, UK, and the Founding Director of InfoLab21. His work is well known internationally for contributions in a range of areas including Quality of Service, active and programmable networking, content distribution networks, and testbed activities. His current research focuses on the resilience of networked computer systems, and the protection of critical infrastructures and services.

Daniel King, Lancaster University, United Kingdom

Daniel King is a Senior Research Associate at Lancaster University. He holds a PhD and MBA from Lancaster University. He worked previously for leading technology companies including Cisco, Redback Networks, Movaz Networks, and he co-founded Aria Networks. Daniel is also an active leader, researcher and contributor to open Internet standards, including the Internet Research Task Force (IRTF), the Internet Engineering Task Force (IETF), the Open Networking Foundation (ONF), and MEF.

Nicholas Race, Lancaster University, United Kingdom

Nicholas Race is a Professor of networked systems with the School of Computing and Communications, Lancaster University. His research is broadly around experimental networking and networked media, specializing in the use of software-defined networking and network-functions-virtualization for new network-level services, including in-network media caching, network-level fairness, and network monitoring.

Charalampos Rotsos, Lancaster University, United Kingdom

Charalampos Rotsos received the Ph.D. degree from the Computer Laboratory, Cambridge University. He is a Lecturer in computer networks and networked systems with Lancaster University. His research focus is in network service management and orchestration, network programmability and monitoring, and cloud operating systems. He is an active contributor to many popular open-source projects relevant to SDN experimentation (OFLOPS), open-hardware (Blueswitch),and cloud OS (Mirage Unikernel).


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How to Cite

Bezahaf, M. ., Cassidy, S. ., Hutchison, D. ., King, D. ., Race, N. ., & Rotsos, C. . (2021). A Model-Driven and Business Approach to Autonomic Network Management. Journal of ICT Standardization, 9(2), 229–256. https://doi.org/10.13052/jicts2245-800X.928



Special Issue on Zero-touch Network and Service Automation (ZSM)