Loading [a11y]/accessibility-menu.js
Disparity: Scalable Anomaly Detection for Clusters | IEEE Conference Publication | IEEE Xplore

Disparity: Scalable Anomaly Detection for Clusters


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 ...Show More

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.
Date of Conference: 08-12 September 2008
Date Added to IEEE Xplore: 19 September 2008
CD:978-0-7695-3375-9

ISSN Information:

Conference Location: Portland, OR, USA

References

References is not available for this document.