一种虚拟机状态的判断方法、装置、设备和存储介质
By acquiring virtual machine running characteristic information, determining application scenarios, and adjusting prediction models, the reliability problem of identifying virtual machine idle states is solved, the identification efficiency and accuracy are improved, and effective virtual machine management is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SANGFOR TECH INC
- Filing Date
- 2021-02-02
- Publication Date
- 2026-07-17
AI Technical Summary
The lack of reliable and effective methods in the current technology to identify the idle status of virtual machines leads to the degradation of cloud resource performance and low cost management efficiency, and may even affect business operations.
By acquiring the virtual machine's runtime characteristics, its application scenario is determined, and the prediction model is adjusted based on the scenario. The first prediction model is then used to determine whether the virtual machine is in an idle or non-idle state.
It improves the efficiency and accuracy of identifying virtual machine idle states, reduces the cost and time of manual judgment, avoids inconsistencies in results caused by different people's identification standards, and achieves effective virtual machine management.
Smart Images
Figure CN114840300B_ABST