Exploration and application of autonomous network based on network events

Weihong LI; Ying YANG; Kun HUANG; Chenglong ZHU; Tantao PAN; Xianzong HE

doi:10.11959/j.issn.1000-0801.2024013

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Exploration and application of autonomous network based on network events

Engineering and Application | 更新时间：2024-06-05

- Exploration and application of autonomous network based on network events
- Telecommunications Science Vol. 40, Issue 1, Pages: 144-151(2024)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024013
  CLC： TN915
- Published Online：2024-01，
  
  Published：20 January 2024
- 稿件说明：
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Weihong LI, Ying YANG, Kun HUANG, et al. Exploration and application of autonomous network based on network events[J]. Telecommunications science, 2024, 40(1): 144-151.
DOI：

Weihong LI, Ying YANG, Kun HUANG, et al. Exploration and application of autonomous network based on network events[J]. Telecommunications science, 2024, 40(1): 144-151. DOI： 10.11959/j.issn.1000-0801.2024013.

摘要

为落实和达成自智网络的目标，提升网络运维自动化能力，探索了一种自智网络模式，引入多维数据自动聚类、自适应滑动时间窗机制、基于时空序列关联的用户流量损失评估模型、基于图论的故障传播图与时空聚类等算法，从网络事件管理、故障自识别、自定位、自调度和智能质检等多个方面进行自动化能力建设。力求2025年达到L4级高级自智网络的目标。

Abstract

In order to achieve the goal of autonomous networks and improve the automation of network operation

an autonomous network model was explored.The model introduced algorithms such as multidimensional data automatic clustering

adaptive sliding time window mechanism

user traffic loss assessment model based on spatiotemporal sequence correlation

fault propagation graph based on graph theory and spatiotemporal clustering

and builded automation capabilities through network event management

fault self-identification

self-positioning

self-scheduling

and intelligent quality inspection.The goal is achieving L4 advanced intelligent network by 2025.

关键词

Keywords

references

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