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Experiential Networked Intelligence (ENI); Definition of Data Centre network autonomic levels
ETSI GR ENI 049 V4.1.1
| contributor author | ETSI - European Telecommunications Standards Institute | |
| date accessioned | 2025-09-30T23:01:42Z | |
| date available | 2025-09-30T23:01:42Z | |
| date copyright | 2025.05 | |
| date issued | 2025 | |
| identifier other | gr_ENI049v040101p.pdf | |
| identifier uri | http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0Fa/handle/yse/348009 | |
| language | English | |
| publisher | ETSI - European Telecommunications Standards Institute | |
| title | Experiential Networked Intelligence (ENI); Definition of Data Centre network autonomic levels | en |
| title | ETSI GR ENI 049 V4.1.1 | num |
| type | standard | |
| page | 24 | |
| status | Published | |
| tree | ETSI - European Telecommunications Standards Institute:;2025 | |
| contenttype | fulltext | |
| subject keywords | 6G | |
| subject keywords | closed control loop | |
| subject keywords | Data Centres | |
| subject keywords | GenAI | |
| subject keywords | LLM | |
| subject keywords | Native AI | |
| scope | The 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. |
