A Bayesian Approach to Online Performance Modeling for Database Appliances Using Gaussian Models
In order to meet Service Level Agreements (SLAs) and to maintain peak performance for DataBase Management Systems (DBMS), DataBase Administrators (DBAs) need to implement policies for effective workload scheduling, admission control, and resource provisioning. Accurately predicting response times of DBMS queries is necessary for a DBA to effectively achieve these goals. This task is particularly challenging due to the fact that a database workload typically consists of many concurrently running queries and an accurate model needs to capture their interactions. Additional challenges are introduced when DBMSes are run in dynamic cloud computing environments, where workload, data, and physical resources can change frequently, on-the-fly.