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In this paper we evaluate an online load change detection algorithm, aimed to identify changes in traffic loads when monitoring Internet links. This online change detector was first introduced in  and produces an alert when a sustained and statistically significant change has been detected. Then, the network manager verifies the change and takes action if the change is truly relevant. We show that the behavior of the algorithm with synthetically generated time series is appropriate, and the obtained results are as expected.