Ganesha
2010; Association for Computing Machinery; Volume: 37; Issue: 3 Linguagem: Inglês
10.1145/1710115.1710118
ISSN1557-9484
AutoresXinghao Pan, Jiaqi Tan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan,
Tópico(s)Advanced Data Storage Technologies
ResumoGanesha 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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