System downtime intelligent prediction method, device and equipment and readable storage medium
The invention discloses a system downtime intelligent prediction method, device and equipment and a readable storage medium, and the method comprises the steps: inputting a first feature vector corresponding to real-time log information into an anomaly detection model, obtaining a detection result,...
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| creator | CHEN JIANFEI ZHANG QINGYUN YE XIAOLONG JIANG TONGTONG WENG LEYI CHEN QINGQING |
| description | The invention discloses a system downtime intelligent prediction method, device and equipment and a readable storage medium, and the method comprises the steps: inputting a first feature vector corresponding to real-time log information into an anomaly detection model, obtaining a detection result, and determining real-time abnormal log information based on the detection result; the anomaly detection model comprises an isolated forest model and a density clustering model, and output information of the isolated forest model is input information of the density clustering model; and predicting the time and probability of system downtime based on the real-time abnormal log information. According to the method, the real-time abnormal log information is generated through the abnormal detection model, the time and probability of system downtime are predicted through the real-time abnormal log information, operation and maintenance personnel maintain the system according to the prediction result, and the stability of |
| format | Patent |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | System downtime intelligent prediction method, device and equipment and readable storage medium |
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