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2004
ACM

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control

10 years 2 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and evaluate tools for offline and online analysis of system metrics gathered from instrumentation in Internet server platforms. We use a promising class of probabilistic models (Tree-Augmented Bayesian Networks or TANs) to identify combinations of system-level metrics and threshold values that correlate with high-level performance states--compliance with Service Level Objectives (SLOs) for average-case response time--in a threetier Web service under a variety of conditions. Experimental results from a testbed show that TAN models involving small subsets of metrics capture patterns of performance behavior in a way that is accurate and yields insights into the causes of observed performance effects. TANs are extremely efficient to represent and evaluate, and they have interpretability properties that make them excel...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2004
Where OSDI
Authors Ira Cohen, Jeffrey S. Chase, Julie Symons, Moisés Goldszmidt, Terence Kelly
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