Method for predicting service performance of video website

The invention discloses a method for predicting service performance of a video website. The method comprises: step 101) through simulating a user request, measuring video website performance parameters at regular time, calculating a correlation coefficient of the performance parameters; if the absolute value of the correlation coefficient exceeds a preset threshold value, storing values of all performance parameters to a performance prediction data set of a corresponding website, if not, just storing download velocity to a performance prediction data set of the corresponding website, wherein the performance parameters include connection time and download velocity; step 102) performing parameter nondimensionalization and normalization preprocessing on the prediction data set, based on the data and a time sequence model or a machine learning model obtained by the preprocessing, predicting service performance of the video website at next moment, performing reverse normalization on the normalization prediction re