Draft Recommendation ITU-T Y.ML-IMT2020-VNS: Framework for network slicing management enabled by machine learning including input from verticals

Qi Wang; Jose M. Alcaraz Calero

Draft Recommendation ITU-T Y.ML-IMT2020-VNS: Framework for network slicing management enabled by machine learning including input from verticals

Qi Wang, Jose M. Alcaraz Calero

School of Computing, Engineering and Physical Sciences

Research output: Other contribution › peer-review

Abstract

This draft Recommendation provides a framework for network slice management enabled by machine learning including input from verticals, in order to ensure end-to-end quality of experience. The scope of this document includes: - Framework for network slice management enabled by machine learning including input from verticals - Supporting APIs - Use cases

Original language	English
Type	International Standard
Publisher	The International Telecommunication Union
Publication status	Accepted/In press - 31 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=16720

Cite this

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title = "Draft Recommendation ITU-T Y.ML-IMT2020-VNS: Framework for network slicing management enabled by machine learning including input from verticals",

abstract = "This draft Recommendation provides a framework for network slice management enabled by machine learning including input from verticals, in order to ensure end-to-end quality of experience. The scope of this document includes: - Framework for network slice management enabled by machine learning including input from verticals - Supporting APIs - Use cases ",

author = "Qi Wang and \{Alcaraz Calero\}, \{Jose M.\}",

year = "2020",

month = jul,

day = "31",

language = "English",

publisher = "The International Telecommunication Union",

address = "Switzerland",

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AU - Wang, Qi

AU - Alcaraz Calero, Jose M.

PY - 2020/7/31

Y1 - 2020/7/31

N2 - This draft Recommendation provides a framework for network slice management enabled by machine learning including input from verticals, in order to ensure end-to-end quality of experience. The scope of this document includes: - Framework for network slice management enabled by machine learning including input from verticals - Supporting APIs - Use cases

AB - This draft Recommendation provides a framework for network slice management enabled by machine learning including input from verticals, in order to ensure end-to-end quality of experience. The scope of this document includes: - Framework for network slice management enabled by machine learning including input from verticals - Supporting APIs - Use cases

M3 - Other contribution

PB - The International Telecommunication Union

ER -

Draft Recommendation ITU-T Y.ML-IMT2020-VNS: Framework for network slicing management enabled by machine learning including input from verticals

Abstract

UN SDGs

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Cite this