Exploration and application of autonomous network based on network events

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 mode...

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Bibliographic Details
Published inDianxin Kexue Vol. 40; no. 1; pp. 144 - 151
Main Authors Li, Weihong, Yang, Ying, Huang, Kun, Zhu, Chenglong, Pan, Tantao, He, Xianzong
Format Journal Article
LanguageChinese
Published Bejing China International Book Trading 01.01.2024
Beijing Xintong Media Co., Ltd
Subjects
Advanced intelligent networks
Algorithms
Automation
Clustering
Graph theory
Multidimensional data
network event;autonomous network;self-identification;self-positioning;self-scheduling;intelligent quality inspection
Traffic models
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Summary: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.
ISSN:1000-0801