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Aberrant Behavior Detection in Time Series for Network Service Monitoring
The open-source software RRDtool and Cricket provide a solution to the problem of collecting, storing, and visualizing service network time series data for the real-time monitoring task. However, simultaneously monitoring all service network time series of interest is an impossible task even for the accomplished network technician. The solution is to integrate a mathematical model for automatic aberrant behavior detection in time series into the monitoring software. While there are many such models one might choose, the primary goal should be a model compatible with real-time monitoring. At WebTV, the solution was to integrate a model based on exponential smoothing and Holt-Winters forecasting into the Cricket/RRDtool architecture. While perhaps not optimal, this solution is flexible, efficient, and effective as a tool for automatic aberrant behavior detection.
author = {Jake D. Brutlag},
title = {Aberrant Behavior Detection in Time Series for Network Service Monitoring},
booktitle = {14th Systems Administration Conference (LISA 2000)},
year = {2000},
address = {New Orleans, LA},
url = {https://www.usenix.org/conference/lisa-2000/aberrant-behavior-detection-time-series-network-service-monitoring},
publisher = {USENIX Association},
month = dec
}
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