Research progress of KPI anomaly detection in intelligent operation and maintenance
Existing network monitoring and fault repair mostly rely on rule systems or manual processing.However, the increase in network scale and the diversification of services make this approach difficult to deal with.With the rapid development of technology such as machine learning and deep learning, inte...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021105/ |
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| _version_ | 1841529096256880640 |
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| author | Su WANG Hua LU Shuo WANG Lei CAI Tao HUANG |
| author_facet | Su WANG Hua LU Shuo WANG Lei CAI Tao HUANG |
| author_sort | Su WANG |
| collection | DOAJ |
| description | Existing network monitoring and fault repair mostly rely on rule systems or manual processing.However, the increase in network scale and the diversification of services make this approach difficult to deal with.With the rapid development of technology such as machine learning and deep learning, intelligent operation and maintenance theory has also made great progress, using artificial intelligence technology to enhance the intelligent ability of network operation and maintenance.KPI (key performance indicator) anomaly detection is an underlying core technology of intelligent operation and maintenance.A survey on the KPI anomaly detection technology was given.Firstly, the KPI data and KPI anomalies were described.Then the research progress of single-dimensional KPI and multi-dimensional KPI anomaly detection were introduced.Then, the deployment and application problems of KPI anomaly detection were analyzed.Finally, future research directions were discussed. |
| format | Article |
| id | doaj-art-6ec280f3d44f4ad18b1d3c965e58326b |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-6ec280f3d44f4ad18b1d3c965e58326b2025-01-15T03:26:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-05-0137425159807949Research progress of KPI anomaly detection in intelligent operation and maintenanceSu WANGHua LUShuo WANGLei CAITao HUANGExisting network monitoring and fault repair mostly rely on rule systems or manual processing.However, the increase in network scale and the diversification of services make this approach difficult to deal with.With the rapid development of technology such as machine learning and deep learning, intelligent operation and maintenance theory has also made great progress, using artificial intelligence technology to enhance the intelligent ability of network operation and maintenance.KPI (key performance indicator) anomaly detection is an underlying core technology of intelligent operation and maintenance.A survey on the KPI anomaly detection technology was given.Firstly, the KPI data and KPI anomalies were described.Then the research progress of single-dimensional KPI and multi-dimensional KPI anomaly detection were introduced.Then, the deployment and application problems of KPI anomaly detection were analyzed.Finally, future research directions were discussed.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021105/intelligent operation and maintenanceKPIanomaly detection |
| spellingShingle | Su WANG Hua LU Shuo WANG Lei CAI Tao HUANG Research progress of KPI anomaly detection in intelligent operation and maintenance Dianxin kexue intelligent operation and maintenance KPI anomaly detection |
| title | Research progress of KPI anomaly detection in intelligent operation and maintenance |
| title_full | Research progress of KPI anomaly detection in intelligent operation and maintenance |
| title_fullStr | Research progress of KPI anomaly detection in intelligent operation and maintenance |
| title_full_unstemmed | Research progress of KPI anomaly detection in intelligent operation and maintenance |
| title_short | Research progress of KPI anomaly detection in intelligent operation and maintenance |
| title_sort | research progress of kpi anomaly detection in intelligent operation and maintenance |
| topic | intelligent operation and maintenance KPI anomaly detection |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021105/ |
| work_keys_str_mv | AT suwang researchprogressofkpianomalydetectioninintelligentoperationandmaintenance AT hualu researchprogressofkpianomalydetectioninintelligentoperationandmaintenance AT shuowang researchprogressofkpianomalydetectioninintelligentoperationandmaintenance AT leicai researchprogressofkpianomalydetectioninintelligentoperationandmaintenance AT taohuang researchprogressofkpianomalydetectioninintelligentoperationandmaintenance |