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» Anomaly Detection and its Application in Grid
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GCA
2008
13 years 6 months ago
Anomaly Detection and its Application in Grid
- Size and complexity of grid computing systems increase rapidly. Failures can have adverse effect on application executing on the system. Thus, failure information should be provi...
Thuy Nguyen, Thanh Do, Dung Nguyen, Hiep Nguyen, T...
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 6 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
DSN
2008
IEEE
13 years 11 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
GRID
2007
Springer
13 years 10 months ago
Log summarization and anomaly detection for troubleshooting distributed systems
— Today’s system monitoring tools are capable of detecting system failures such as host failures, OS errors, and network partitions in near-real time. Unfortunately, the same c...
Dan Gunter, Brian Tierney, Aaron Brown, D. Martin ...
ICC
2007
IEEE
203views Communications» more  ICC 2007»
13 years 11 months ago
A Multi-Scale Tomographic Algorithm for Detecting and Classifying Traffic Anomalies
—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...