Cloud data center network traffic anomaly detection and adaptive QoS guarantee system and method
By constructing a multi-level index and anomaly policy graph, the problems of low anomaly detection efficiency and static rigidity of QoS guarantee policies in cloud data center networks are solved. This enables efficient detection of real-time network traffic and dynamic adjustment of QoS policies, thereby improving service quality and resource utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 呼和浩特职业技术大学
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing cloud data center network traffic anomaly detection uses a static configuration strategy, which cannot be dynamically adjusted according to real-time traffic conditions and anomaly detection results, resulting in poor QoS assurance, low resource utilization, and unstable service quality.
A multi-level index structure and anomaly policy graph are constructed. Through principal component analysis, DBSCAN clustering, semantic analysis model and dynamic weight adjustment, efficient retrieval, feature localization and adaptive QoS policy generation of historical and real-time network traffic are achieved.
It significantly improves the accuracy of anomaly detection and the response speed of QoS policies, ensuring the service quality of critical services, improving resource utilization efficiency and network stability.
Smart Images
Figure CN122420176A_ABST