Title

Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop (CMU-PDL-09-103)

Date of Original Version

5-2009

Type

Technical Report

Abstract or Table of Contents

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 data-flow 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.

Comments

Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-09-103