End-to-end intent-based networking
Visualitza/Obre
Cita com:
hdl:2117/362090
Tipus de documentArticle
Data publicació2021-10
Condicions d'accésAccés obert
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Abstract
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.
CitacióVelasco, L. [et al.]. End-to-end intent-based networking. "IEEE communications magazine", Octubre 2021, vol. 59, núm. 10, p. 106-112.
ISSN0163-6804
Versió de l'editorhttps://ieeexplore.ieee.org/document/9627829
Fitxers | Descripció | Mida | Format | Visualitza |
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e2e IBN.pdf | 700,0Kb | Visualitza/Obre |