Proactive identification of performance problems

We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. Fa periodically collects performance data at three levels: applications, database server, and operating system. This data is used to construct probabilistic models for predicting SLA violations. Fa currently uses graphical Bayesian network models because of their ability to support a wide range of inferences, including prediction and diagnosis, as well as their support for interactive visualization and presentation of complex system behavior in intuitive ways.

• Type: Conference
• Year: 2006
• Where: SIGMOD
• Authors: Songyun Duan, Shivnath Babu
• Keywords: Accurate Prediction, Bayesian Network Models, Database, SIGMOD 2006, SLA Violations