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» URCA: Pulling out Anomalies by their Root Causes
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INFOCOM
2010
IEEE
13 years 3 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
CLUSTER
2007
IEEE
13 years 11 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
ICPP
2007
IEEE
13 years 11 months ago
Multi-Layer Event Trace Analysis for Parallel I/O Performance Tuning
The complexity of parallel I/O systems lies in the deep I/O stack with many software layers and concurrent I/O request handling at multiple layers. This paper explores multi-layer...
Pin Lu, Kai Shen
KDD
2012
ACM
199views Data Mining» more  KDD 2012»
11 years 7 months ago
Trustworthy online controlled experiments: five puzzling outcomes explained
Online controlled experiments are often utilized to make datadriven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies. While the th...
Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbot...