Research on Database Failure Prediction Based on Deep Learning Model

[摘要] 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 possilble 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 failuture prediction model of this method has better prediction performance than the prediction algorithm with omitted feature learning.

[发布机构] State Grid Jiangsu Electric Power Company Information and Communication Branch, Nanjing, China^1

[效力级别] 无线电电子学 [学科分类] 材料科学（综合）

[关键词] Analysis strategies;Effective management;Failure prediction;Feature learning;Operation and maintenance;Prediction algorithms;Prediction model;Prediction performance