Carnegie Mellon University
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SALSA: Analyzing Logs as StAte Machines (CMU-PDL-08-111)

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posted on 2008-09-01, 00:00 authored by Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan
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.

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2008-09-01

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    Log AnalysisHadoopFailure DiagnosisData Format not elsewhere classified

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