Research on Wide Area Network Performance Anomaly Detection Technology Based on Machine Learning
The upgrade of the IHEP WLCG Tier-1 site’s network bandwidth from 40 Gbps to 100 Gbps demands robust performance monitoring to ensure reliability. Traditional methods face inefficiencies in pinpointing anomalies within large-scale networks, particularly for long-lived connections. This study propose...
| Published in: | EPJ Web of Conferences |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/22/epjconf_chep2025_01180.pdf |