Committed to connecting the world

  •  
ITU GSR 2024

ITU-T work programme

[2017-2020] : [SG13] : [Q7/13]

[Declared patent(s)]  - [Publication]

Work item: Y.3654 (ex Y.bDDN-MLMec)
Subject/title: Big data driven networking - Machine learning mechanism
Status: Approved on 2022-02-13 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: -
Supporting members: China Unicom, CICT, Hubei University
Summary: This document specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects of machine learning in bDDN are presented, these aspects include: overview, learning procedure, deployment, interfaces, learning path and control path, security consideration.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Zhaojie Gu, Editor
Jinyou Dai, Editor
Guosheng Zhu, Editor
ITU-T A.5 justification(s):
Generate A.5 drat TD
-
[Submit new A.5 justification ]
See guidelines for creating & submitting ITU-T A.5 justifications
First registration in the WP: 2019-07-10 15:38:07
Last update: 2021-12-16 15:46:05