On a Way Together - Database and Machine Learning for Performance Tuning

Database Management systems are the crucial components in data intensive applications. For efficiently processing and analyzing the data, the database systems should be at par in terms of performance. Tuning the database is nowadays the major goal to improve DBMS's operations. Optimizing the databases to increase the performance and to meet the needs of an application has surpassed the abilities of the humans. Therefore, the researchers have explored how machine learning can be used to tune the databases automatically. In this paper, we have reviewed and discussed various areas of the database tuning, and how machine learning is used to automatically tune the configurations. We have also discussed the various approaches that can be used to integrate the machine learning with database systems. Lastly, we discussed the open problem in tuning database systems.