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 model...

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Main Authors: Weihong LI, Ying YANG, Kun HUANG, Chenglong ZHU, Tantao PAN, Xianzong HE
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-01-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024013/
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author Weihong LI
Ying YANG
Kun HUANG
Chenglong ZHU
Tantao PAN
Xianzong HE
author_facet Weihong LI
Ying YANG
Kun HUANG
Chenglong ZHU
Tantao PAN
Xianzong HE
author_sort Weihong LI
collection DOAJ
description 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.
format Article
id doaj-art-dbdd258ad55f4acabbb2907109f1c8d2
institution Kabale University
issn 1000-0801
language zho
publishDate 2024-01-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-dbdd258ad55f4acabbb2907109f1c8d22025-01-15T02:57:35ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-01-014014415159557458Exploration and application of autonomous network based on network eventsWeihong LIYing YANGKun HUANGChenglong ZHUTantao PANXianzong HEIn 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024013/network eventautonomous networkself-identificationself-positioningself-schedulingintelligent quality inspection
spellingShingle Weihong LI
Ying YANG
Kun HUANG
Chenglong ZHU
Tantao PAN
Xianzong HE
Exploration and application of autonomous network based on network events
Dianxin kexue
network event
autonomous network
self-identification
self-positioning
self-scheduling
intelligent quality inspection
title Exploration and application of autonomous network based on network events
title_full Exploration and application of autonomous network based on network events
title_fullStr Exploration and application of autonomous network based on network events
title_full_unstemmed Exploration and application of autonomous network based on network events
title_short Exploration and application of autonomous network based on network events
title_sort exploration and application of autonomous network based on network events
topic network event
autonomous network
self-identification
self-positioning
self-scheduling
intelligent quality inspection
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024013/
work_keys_str_mv AT weihongli explorationandapplicationofautonomousnetworkbasedonnetworkevents
AT yingyang explorationandapplicationofautonomousnetworkbasedonnetworkevents
AT kunhuang explorationandapplicationofautonomousnetworkbasedonnetworkevents
AT chenglongzhu explorationandapplicationofautonomousnetworkbasedonnetworkevents
AT tantaopan explorationandapplicationofautonomousnetworkbasedonnetworkevents
AT xianzonghe explorationandapplicationofautonomousnetworkbasedonnetworkevents