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The source code of the implementations and the tuning of parameters is discussed below. Please consider two important factors while we discuss the parameters tuning: a) We define an anomalous event as one which significantly varies from the normal behaviour of the Internet Path and the perturbation persists for at least three hours. b) The measurements made by IEPM-BW are at least 45 mins apart.
Plateau Algorithm
The Plateau Algorithm takes four input parameters - history buffer length, trigger buffer length, sensitivity and threshold. We define the trigger buffer length to hold observations spanning at least 3 hours (since we define an anomalous event as one that persists for at least 3 hours). Since the measurements made by IEPM are 45 mins apart, we get about 6 observations. We then empirically determine the optimal length of the history buffer to span at least 5 days ~ 240 observations.
We initially define the sensitivity as one (1) and determine the optimal threshold value for each link (i.e. the value with the optimal ratio of true-positives to false positives). As suggested by the authors, this threshold falls between 30%-40%. Finally for the history buffer length, the trigger buffer length and the optimal threshold, we vary the sensitivity to determine the spectrum of the ratio of true-positive rate to false positive rate. Based on the observations we plot the ROC curves as shown in figure 2.
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The source code of the implementation is available in [C#|http://www.slac.stanford.edu/~kalim/event-detection/published-src/c-plateau-impl.html] \[[cs|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.cs]\] and [perl|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.pl.html] \[[pl|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.pl]\] ([utilityFunctions|http://www.slac.stanford.edu/~kalim/event-detection/published-src/utilityFunctions.pm.html] \[[pm|http://www.slac.stanford.edu/~kalim/event-detection/published-src/utilityFunctions.pm]\]). |
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