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Intelligent operation and maintenance-based software system performance bottleneck analysis and detection method

The present application belongs to the field of software system performance bottleneck analysis and detection, and relates to a software system performance bottleneck detection method based on intelligent operation and maintenance. The performance bottleneck detection method is as follows: first, performance data is acquired; second, performance data entry items are extracted to complete data preprocessing; third, test data is subjected to data two-group bottleneck clustering to obtain bottleneck time point marking division; fourth, training data is trained to obtain model architecture parameters and complete input data representation mapping; fifth, test data is trained to complete representation mapping with the training data; and sixth, the performance bottleneck detection result corresponding to the test data is obtained. The present application has low requirements for performance index data itself, a wider applicable scope, can effectively help complete system performance bottleneck analysis and interpretation by means of artificial intelligence, and has good applicability and robustness.
Owner:DALIAN UNIV OF TECH