Architectural framework for machine learning model serving in future networks including IMT-2020 |
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Recommendation ITU-T Y.3179 provides an architectural framework for machine learning (ML) model serving in future networks including IMT-2020, i.e., preparing and deploying ML models in different deployment environments to enable the application of ML model inference to ML underlay networks. The framework includes high-level requirements, and a high-level architecture description covering the definition of architectural components and reference points.
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Citation: |
https://handle.itu.int/11.1002/1000/14614 |
Series title: |
Y series: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities Y.3000-Y.3499: Future networks |
Approval date: |
2021-04-29 |
Provisional name: | Y.ML-IMT2020-MODEL-SERV |
Approval process: | AAP |
Status: |
In force |
Maintenance responsibility: |
ITU-T Study Group 13 |
Further details: |
Patent statement(s)
Development history
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Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
1
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Y.3179 (04/2021)
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In force
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here
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here
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here
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Title |
Approved on |
Download |
ITU-T Focus Group IMT-2020 Deliverables
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2017
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here
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Multiple radio access technologies
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2012
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here
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Future networks
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2012
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here
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