Browser compatibility performance detection method under virtual cloud technology

With the rapid development of cloud computing and virtualization technology, more and more applications are being deployed and run in cloud environments, and compatibility issues between different browsers are becoming increasingly prominent. A browser compatibility performance detection method based on virtual cloud technology is proposed to address this issue. Using virtual cloud technology for environmental simulation, building a prediction model based on machine learning technology, predicting compatibility issues under different browser versions through this model, obtaining browser compatibility test data, and discovering patterns, trends, and patterns. Finally, build a browser compatibility performance test based on the Linux operating system to obtain the test results. The experimental results show that the detection results of this method have a high recall rate and a low false alarm rate. By increasing the number of test cases, it covers more situations and scenarios, improving the comprehensiveness of browser compatibility performance detection results.