Cognitive Autonomous Networking (CAN): Self-Learning and Self-Healing  Framework for the Global Internet Backbone

Suresh Kumar Balakrishnan

Cognitive Autonomous Networking (CAN): Self-Learning and Self-Healing Framework for the Global Internet Backbone

Authors

Suresh Kumar Balakrishnan

Keywords:

Cognitive Networking, Autonomous Internet, Self-Healing Networks, Reinforcement Learning, BGP Optimization, Global Internet Backbone, Federated Intelligence, Predictive Routing

Abstract

The global Internet backbone remains the most complex distributed network on earth, hererouting convergence, path stability, and fault recovery rely on static configurations andactive protocols. Traditional Border Gateway Protocol (BGP) and Multi-Protocol Label Switching (MPLS)

References

Kim, H. et al. (2023) 'Reinforcement Learning for BGP Route Optimization', IEEE Transactions on Network and Service Management, 20(4), 2401–2416.

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Published

2023-03-15

How to Cite

Suresh Kumar Balakrishnan. (2023). Cognitive Autonomous Networking (CAN): Self-Learning and Self-Healing Framework for the Global Internet Backbone. Journal of Computational Analysis and Applications (JoCAAA), 31(3), 713–718. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3921