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Work item:
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Y.ML-IMT2020-MLFO
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Subject/title:
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Requirements and architecture for machine learning function orchestrator
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Status:
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[Carried to next study period]
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ITU-T SG9, ITU-T SG16, ETSI ENI, ETSI ZSM
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Supporting members:
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China Mobile, ZTE, China Unicom
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Summary:
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The overall architectural framework for ML in future networks including IMT-2020 is defined in [ITU-T Y.3172]. This draft Recommendation aims to study the detailed requirements and architecture for machine learning function orchestrator (MLFO) in future networks including IMT-2020. Firstly, high-level requirements of MLFO are provided based on the analysis of use cases described in [ITU-T Y.Sup55]. Secondly, the overall architecture is presented including the components of the MLFO architecture and its reference points. Finally, sequence diagrams which highlight the interactions between MLFO and other components in the network are described.
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Comment:
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Based on the FG-ML5G Deliverables
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2020-08-04 16:42:58
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Last update:
2022-01-20 13:01:06
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