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Research Paper | Computer Engineering | India | Volume 10 Issue 4, April 2021
Database Failure Prediction Based on Deep Learning Model
Siva Karthick Chaganty
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.
Keywords: Self-encoding, deep learning model, Database failures, prediction performance
Edition: Volume 10 Issue 4, April 2021
Pages: 83 - 86
How to Cite this Article?
Siva Karthick Chaganty, "Database Failure Prediction Based on Deep Learning Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR21329110526, Volume 10 Issue 4, April 2021, 83 - 86
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