A scalable, non-parametric anomaly detection framework for Hadoop

@inproceedings{Yu2013ASN,
  title={A scalable, non-parametric anomaly detection framework for Hadoop},
  author={Li Yu and Zhiling Lan},
  booktitle={CAC},
  year={2013}
}
In this paper, we present a scalable and practical problem diagnosis framework for Hadoop environments. Our design features a decentralized approach based on hierarchical grouping and a novel non-parametric diagnostic mechanism. We evaluate our framework under various Hadoop workloads. The experimental results show that our design outperforms traditional… CONTINUE READING