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End-to-End Intent-Based Networking

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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Informasi Detail

Judul Seri

IEEE COMMUNICATIONS MAGAZINE; Vol.59 No.10 October 2021

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 106-112

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

ELASTICITY
MACHINE LEARNING
VIRTUALIZATION
CLOUD COMPUTING
RESILIENCE
5G MOBILE COMMUNICATION

Info Detail Spesifik

DOI: 10.1109/MCOM.101.2100141

Pernyataan Tanggungjawab

Luis Velasco, Marco Signorelli, Oscar González De Dios, Chrysa Papagianni, Roberto Bifulco, Juan Jose Vegas Olmos, Simon Pryor, Gino Carrozzo, ... (et al.)

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