Computer cluster performance index detection method, electronic equipment and storage medium

Abstract

The present invention provides a computer cluster performance index detection method, electronic equipment and storage media. The computer cluster performance index detection method includes: extracting performance time series data with a periodic form within a certain period of time from a historical database; Modeling the data to determine a time series model; calculating the fitting error of the historical data preset initial step size according to the time series model; predicting the threshold interval of the preset future step size according to the fitting error and the preset reliability; Detecting whether the actual value corresponding to the preset future step size of the performance index of the computer cluster is within the threshold range, if yes, it is normal, and if not, it is abnormal. The invention automatically calculates the fitting error of the corresponding step size of the historical data according to the prediction step size, and then determines the prediction interval according to the error, and the prediction interval helps to design a more reasonable threshold range and reduce the false negative rate or false negative rate of abnormal detection .

Description

technical field [0001] The invention relates to the field of intelligent information and communication technology (ICT), in particular to the field of computer (IT) cluster technology, specifically a computer cluster performance index detection method, electronic equipment and storage media. Background technique [0002] With the rapid development of computer hardware and software, more and more powerful applications will be introduced. However, hundreds of software errors and hardware failures in the cluster not only make the user experience drop sharply, but also cost a lot of maintenance costs. A non-stop system like an IT cluster has stringent uptime requirements, so its continuous monitoring is critical. This means that cluster performance data needs to be continuously monitored in order to detect potential failures or anomalies. Due to the large scale of clusters, there are many types and quantities of performance data that need to be monitored, and manual monitoring...

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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a computer cluster performance index detection method, electronic equipment and storage media, which are used to solve the problem that the threshold range cannot be accurately determined in the computer cluster performance index detection in the prior art. question

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