Database Failure Prediction Based on Deep Learning Model

Effective management of the database plays an important role in the development of the grid business and the reduction of operation and maintenance costs. For the oracle database, there are many factors affecting its performance. It is difficult for the oracle database to predict possible problems with the common method. This paper proposes an analysis strategy based on oracle AWR report. By introducing a self-encoding deep learning model to construct a database failure prediction mechanism. The experiment shows that the failure prediction model of this method has better prediction performance than the prediction algorithm with omitted feature learning.