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.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    End-to-end intent-based networking



    Erscheinungsdatum :

    2021-01-01


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Recent Advances in Intent-Based Networking: A Survey

    Zeydan, Engin / Turk, Yekta | IEEE | 2020



    Commander's Intent

    Online Contents | 2013


    Commander's Intent

    Online Contents | 2013


    Commander's Intent

    Online Contents | 2013