End-to-End Intent-Based Networking

doi:10.1109/MCOM.101.2100141

End-to-End Intent-Based Networking

2021-10-01

33

OA

AI

L

Luis Velasco *

Ó

Óscar González de Dios

Juan José Vegas Olmos

DOI：10.1109/MCOM.101.2100141

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Abstract

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To reap its full benefits, 5G must evolve into a scalable decentralized architecture by exploiting intelligence ubiquitously and securely across different technologies, network layers, and segments. In this article, we propose end-to-end and ubiquitous secure machine learning (ML)-powered intent-based networking (IBN). The IBN framework is aware of its state and context to autonomously take proactive actions for service assurance. It is integrated in a zero-touch control and orchestration framework featuring an ML function orchestrator to manage ML pipelines. The objective is to create an elastic and dynamic infrastructure supporting per-domain and end-to-end network and services operation. The solution is supported by a radio access network and forwarding plane, and a cloud/edge virtualization infrastructure with ML acceleration. The resulting framework supports application-level resilience and intelligence through replication and elasticity. An illustrative intelligent application use case is presented.

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End-to-End Intent-Based Networking

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