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Ganesha aims to diagnose faults transparently (in a black-box manner) in MapReduce systems, by analyzing OS-level metrics. Ganesha's approach is based on peer-symmetry under fault-free conditions, and can diagnose faults that manifest asymmetrically at nodes within a MapReduce system. We evaluate Ganesha by diagnosing Hadoop problems for the Gridmix Hadoop benchmark on 10-node and 50-node MapReduce clusters on Amazon's EC2. We also candidly highlight faults that escape Ganesha's diagnosis.

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Ganesha: blackBox diagnosis of MapReduce systems

Pan, Xinghao; Tan, Jiaqi; Kavulya, Soila; Gandhi, Rajeev; Narasimhan, Priya
ACM SIGMETRICS Performance Evaluation Review , Volume 37 (3)
Association for Computing MachineryJan 21, 2010

More Info

  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • ISSN 0163-5999
  • D.O.I. 10.1145/1710115.1710118
  • Publisher site Get PDF  

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