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Work Item Reference | ETSI Doc. Number |
STF | Technical Body in Charge |
Standard Not Ready For Download |
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| DGR/ENI-0024_Met_autonomicity | GR ENI 014 | ENI | |||||
| Current Status (Click to View Full Schedule) |
Latest Version |
Cover Date | Standstill | Creation Date | |||
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0.0.2 | View Standstill Information | 2021-03-17 | ||||
| Rapporteur | Technical Officer | Harmonised Standard | |||||
Yu Zeng
|
Christine Mera
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No | |||||
| Title |
Experiential Networked Intelligence (ENI); Evaluation of categories for AI application to Networks Evaluation Method for autonomicity |
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Scope and Field of Application |
This WI aims to evolve GR ENI 010 to further investigate quantitative evaluation criteria of network autonomicity categories, by performing a deeper research of more quantitative factors that determine those categories as well as an accurate scoring criteria that complies with the evolution of the ENI architecture and related data model covering an entire operator's network or just a specific domain. This deeper research will be complemented by the description of several example scenarios where the quantitative factors and the scoring evaluation criteria will be illustrated. This can be done by analysing the relationship among network KPIs of different levels, e.g. between the network infrastructure capabilities and the network intelligence levels. |
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Supporting Organizations |
Huawei UK, Chrina Telecom, Portugal Telecom, CAICT | ||||||
