SALSA: Analyzing Logs as StAte Machines 1
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by
Jiaqi Tan
,
Xinghao Pan
,
Soila Kavulya
,
Rajeev G
,
Priya Narasimhan
BibTeX
@MISC{Tan_salsa:analyzing,
author = {Jiaqi Tan and Xinghao Pan and Soila Kavulya and Rajeev G and Priya Narasimhan},
title = {SALSA: Analyzing Logs as StAte Machines 1},
year = {}
}
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Abstract
SALSA examines system logs to derive state-machine views of the sytem’s execution, along with controlflow, 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 state-machine views and statistics. 1
