White Papers

Proactive Identification of Performance Problems

Category: Data Management, IT Management

Tags: database, server, network, applications, data

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.

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Publisher: Association for Computing Machinery
File Format: PDF
Date Published: Aug 23, 2006
Format: White Papers
Topics: Service Level Management, SLA, Database Management

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