End-to-End Intent-Based Networking


Por: velasci, Luis, Signorelli, M, González Dios, Oscar, Papagianni, C, Bifulco, R, Vegas Olmos, Juan Jose, Pryor, S, Carrozzo, G, Schulz-Zander, J, Bennis, M, Martinez, R, Cugini, F, Salvadori, C, Lefebvre, V, Valcarenghi, L, Ruiz, M

Publicada: 1 ene 2021
Resumen:
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. © 1979-2012 IEEE.

Filiaciones:
Signorelli, M:
 Telecom Italia, Rome, Italy

Papagianni, C:
 Univ Amsterdam, Amsterdam, Netherlands

Bifulco, R:
 NEC Corp Ltd, Tokyo, Japan

Pryor, S:
 Accelleran, Antwerp, Belgium

Carrozzo, G:
 Nextworks, Pisa, Italy

Schulz-Zander, J:
 HHI, Berlin, Germany

Bennis, M:
 Univ Oulu, Oulu, Finland

Martinez, R:
 CTTC CERCA, Barcelona, Spain

Cugini, F:
 CNIT, Pisa, Italy

Salvadori, C:
 NGS, Pisa, Italy

Lefebvre, V:
 Tages Solidshield, Pisa, Italy

Valcarenghi, L:
 Scuola Super Sant Anna, Pisa, Italy

Ruiz, M:
 Univ Politecn Cataluna, Barcelona, Spain

Universitat Politècnica de Catalunya, Spain
Telecom Italia, Italy
Tèlefonica, Spain
University of Amsterdam, Netherlands
NEC, Japan
NVIDIA, United States
Accelleran, Belgium
Nextworks, Italy
HHI, Germany
University of Oulu, Finland
CTTC/CERCA, United States
CNIT, Italy
NGS, United States
Tages Solidshield, United States
Scuola Superiore sant'Anna, Italy
ISSN: 01636804
Editorial
Institute of Electrical and Electronics Engineers Inc., 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 59 Número: 10
Páginas: 106-112
WOS Id: 000722717500030
imagen Green Published, Green Accepted, Green Submitted, All Open Access; Green Open Access

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imagen Accepted Version

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