Server data exception detection method and device, storage medium and equipment
A data exception and server technology, applied in the computer field, can solve problems affecting services and achieve the effect of ensuring stable operation
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no. 1 example
[0047] See figure 1 , A schematic flowchart of a method for detecting server data anomaly provided by this embodiment, the method includes the following steps:
[0048] S101: Acquire target data to be detected, where the target data is time series data generated by the target server.
[0049] It should be noted that, in order to facilitate the understanding of the solutions provided in the embodiments of this application, the technical terms designed in this application are now introduced:
[0050] Anomaly Detection is an important branch of machine learning. It has a wide range of practical applications and is closely related to our lives. The so-called anomaly detection is to find objects that are different from most objects, that is, to find outliers. It is generally stipulated that the data has a "normal" model, and abnormalities are considered as deviations from this normal model. In actual applications, the definition of exceptions is also specific.
[0051] Distributed search...
no. 2 example
[0065] This embodiment will introduce the specific construction process of the server data abnormality detection model mentioned in the first embodiment.
[0066] Step A1: Obtain server training data.
[0067] In this embodiment, in order to build a server data anomaly detection model, a lot of preparatory work needs to be done in advance. First, server training data needs to be collected. For example, 1000 pieces of time series data generated by the server can be collected in advance, and the collected server generates Each piece of time series data is used as sample data, and the abnormal state type represented by the sample data is manually marked in advance to train the server data anomaly detection model.
[0068] Step A2: Preprocess the training data to convert it into preprocessed training data conforming to the data access format of the distributed search engine ES.
[0069] In this embodiment, after the server training data is obtained through step A1, it cannot be directly u...
no. 3 example
[0087] This embodiment will introduce a server data abnormality detection device. For related content, please refer to the above method embodiment.
[0088] See figure 2 , A schematic diagram of the composition of a server data anomaly detection device provided by this embodiment, the device includes:
[0089] The first obtaining unit 201 is configured to obtain target data to be detected, where the target data is time series data generated by the target server;
[0090] The first preprocessing unit 202 is configured to preprocess the target data to convert it into preprocessed data that conforms to the data access format of the distributed search engine ES, and input it into the ES;
[0091] The detection unit 203 is configured to detect the pre-processed data by using the server data abnormality detection model constructed in advance in the ES to detect the abnormal state of the time series data generated by the target server.
[0092] In an implementation manner of this embodiment, ...
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