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- W2153519254 abstract "In this paper, we describe disparity, a tool that does parallel, scalable anomaly detection for clusters. Disparity uses basic statistical methods and scalable reduction operations to perform data reduction on client nodes and uses these results to locate node anomalies. We discuss the implementation of disparity and present results of its use on a SiCortex SC5832 system." @default.
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- W2153519254 date "2008-09-01" @default.
- W2153519254 modified "2023-10-16" @default.
- W2153519254 title "Disparity: Scalable Anomaly Detection for Clusters" @default.
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- W2153519254 doi "https://doi.org/10.1109/icpp-w.2008.30" @default.
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