L. Velasco et al., "End-to-End Intent-Based Networking," in IEEE Communications Magazine, vol. 59, no. 10, pp. 106-112, October 2021, doi: 10.1109/MCOM.101.2100141.
End-to-end intent-based networking
|Author:||Velasco, Luis1; Signorelli, Marco2; González De Dios, Oscar3;|
1Universitat Politècnica de Catalunya, Spain
2Telecom Italia, Italy
4University of Amsterdam, Netherlands
10University of Oulu, Finland
14Tages Solidshield, USA
15Scuola Superiore Sant'Anna, Italy
|Online Access:||PDF Full Text (PDF, 0.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023030730248
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-03-07
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.
IEEE communications magazine
|Pages:||106 - 112|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
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