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ITU-T - Y.3182

Machine learning based end-to-end multi-domain network slice management and orchestration

active, Most Current
Organization: ITU-T
Publication Date: 1 September 2022
Status: active
Page Count: 42
scope:

This Recommendation provides the framework and requirements of machine learning based end-to-end network slice management and orchestration in multi-domain environments. It addresses the following subjects:

• Overview and interoperability requirements of machine learning based multi-domain end-to-end network slice management and orchestration;

• Functional requirements of machine learning based multi-domain end-to-end network slice management and orchestration;

• Framework of machine learning based multi-domain end-to-end network slice management and orchestration;

• Cognitive components for the framework.

Use case examples are provided in Appendix I.

NOTE 1 - Multi-domain environments include those provided by the same or different network operators.

NOTE 2 - The framework described in this Recommendation is also applicable to single domain environments as appropriate.

Document History

Y.3182
September 1, 2022
Machine learning based end-to-end multi-domain network slice management and orchestration
This Recommendation provides the framework and requirements of machine learning based end-to-end network slice management and orchestration in multi-domain environments. It addresses the following...

References

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