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Experiential Networked Intelligence (ENI); Definition of Data Centre network autonomic levels

ETSI GR ENI 049 V4.1.1

Organization:
ETSI - European Telecommunications Standards Institute
Year: 2025

ETSI - European Telecommunications Standards Institute

URI: http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0Fa/handle/yse/348009
Subject: 6G
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  • ETSI - European Telecommunications Standards Institute
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    Experiential Networked Intelligence (ENI); Definition of Data Centre network autonomic levels

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contributor authorETSI - European Telecommunications Standards Institute
date accessioned2025-09-30T23:01:42Z
date available2025-09-30T23:01:42Z
date copyright2025.05
date issued2025
identifier othergr_ENI049v040101p.pdf
identifier urihttp://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0Fa/handle/yse/348009
languageEnglish
publisherETSI - European Telecommunications Standards Institute
titleExperiential Networked Intelligence (ENI); Definition of Data Centre network autonomic levelsen
titleETSI GR ENI 049 V4.1.1num
typestandard
page24
statusPublished
treeETSI - European Telecommunications Standards Institute:;2025
contenttypefulltext
subject keywords6G
subject keywordsclosed control loop
subject keywordsData Centres
subject keywordsGenAI
subject keywordsLLM
subject keywordsNative AI
scopeThe present document recommends network autonomic levels for Data Center networks, describing the closed-loop management process characteristics at each level (from Level 1 to Level 5). Specific focus will be set on enablers for deployment of applications and assurance lifecycle phases to enable applications in the data center network: which are the most time-consuming and error-prone ones. General Computing and AI computing are both proposed to be in target. This document will follow the general framework provided by other GRs on categorization.
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DSpace software copyright © 2017-2020  DuraSpace
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
yabeshDSpacePersian