SLA White Papers
Proactive Identification of Performance Problems
Overview This paper proposes 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.
| Publisher | Association for Computing Machinery | File Format | |
|---|---|---|---|
| Date Published | June 2006 | Downloads | 45 |
| Format | White Papers | ||
| Topics | |||
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