Published April 2008
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Non-intrusive transaction monitoring using system logs
Chicago
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Abstract
We consider the problem of online monitoring of transaction instances in enterprise environments, based on footprints left by the instances in system logs and using a state-based reference model of the transaction. Unlike existing approaches, we do not rely on any platform-specific knowledge, neither do we assume footprints to carry correlating identifiers, as injected through instrumentation. We outline a solution for tracking transaction instances at individual and aggregate levels, present preliminary results on theoretical analysis of monitoring precision and conclude with directions of ongoing and future research.
Additional Information
© 2008 IEEE. We wish to thank Paul Klein, Shoel Perelman, Dakshi Agrawal and Dinesh Verma for their support, Paul Hurley for his complementary work (with Chatschik) on transaction model discovery, and Arun Kumar for fruitful discussions on transaction monitoring.Attached Files
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