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

Abstract

The invention provides a computer cluster performance index detection method, electronic equipment and a storage medium. The computer cluster performance index detection method includes the steps of extracting performance time sequence data with periodic forms in a certain period of time from a historical database; conducting modelling on the performance time sequence data, and determining a timesequence model; calculating a fitting error of a preset initial step length of historical data according to the time sequence model; predicting a threshold interval of a preset future step length according to the fitting error and preset reliability; detecting whether or not an actual value corresponding to the preset future step length of a computer cluster performance index is located in the threshold interval, determining that the index is normal if yes, and determining that the index is abnormal if not. According to the computer cluster performance index detection method, the electronic equipment and the storage medium, the fitting error of the corresponding step length of the historical data is automatically calculated according to the predicted step length, then the prediction interval is determined according to the error, a more reasonable threshold range is conveniently designed for the prediction interval, and the missing alarm rate or false alarm rate of abnormality detectionis reduced.

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...

AI Technical Summary

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

Images