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2008
ACM

SALSA: Analyzing Logs as StAte Machines

9 years 11 months ago
SALSA: Analyzing Logs as StAte Machines
SALSA examines system logs to derive state-machine views of the sytem's execution, along with control-flow, data-flow models and related statistics. Exploiting SALSA's derived views and statistics, we can effectively construct higher-level useful analyses. We demonstrate SALSA's approach by analyzing system logs generated in a Hadoop cluster, and then illustrate SALSA's value by developing visualization and failure-diagnosis techniques, for three different Hadoop workloads, based on our derived statemachine views and statistics. Acknowledgements: This work is partially supported by the NSF CAREER Award CCR-0238381, NSF Award CCF-0621508, and the Army Research Office grant number DAAD19-02-1-0389 ("Perpetually Available and Secure Information Systems") to the Center for Computer and Communications Security at Carnegie Mellon University.
Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gand
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2008
Where OSDI
Authors Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan
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