Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop
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DrQ
Jul 26, 2009, 8:07:59 PM7/26/09
to Performance Visualization
http://www.usenix.org/event/hotcloud09/tech/full_papers/tan.pdf
Mochi, a new visual, log-analysis based debugging tool correlates
Hadoop’s behavior in space, time and volume, and extracts a causal,
unified control- and dataflow model of Hadoop across the nodes of a
cluster.
Mochi’s analysis produces visualizations of Hadoop’s behavior using
which users can reason about and debug performance issues. We provide
examples of Mochi’s value in revealing a Hadoop job’s structure, in
optimizing real-world workloads, and in identifying anomalous Hadoop
behavior, on the Yahoo! M45 Hadoop cluster.
Mochi, a new visual, log-analysis based debugging tool correlates
Hadoop’s behavior in space, time and volume, and extracts a causal,
unified control- and dataflow model of Hadoop across the nodes of a
cluster.
Mochi’s analysis produces visualizations of Hadoop’s behavior using
which users can reason about and debug performance issues. We provide
examples of Mochi’s value in revealing a Hadoop job’s structure, in
optimizing real-world workloads, and in identifying anomalous Hadoop
behavior, on the Yahoo! M45 Hadoop cluster.
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