IEEE Journal on Selected Areas in Communications
Load characterization and anomaly detection for voice over IP traffic
IEEE Transactions on Neural Networks
Proactive anomaly detection using distributed intelligent agents
IEEE Network: The Magazine of Global Internetworking
M/G/∞ transience, and its applications to overload detection
Performance Evaluation
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The control of communication networks critically relies on procedures capable of detecting unanticipated load changes. In this paper we develop such techniques, in a setting in which each connection consumes roughly the same amount of bandwidth (with VoIP as a leading example). For the situation of exponential holding times an explicit analysis can be performed in a large-deviations regime, leading to approximations of the test statistic of interest (and, in addition, to results for the transient of the M/M/*** queue, which are of independent interest). This procedure being applicable to exponential holding times only, and also being numerically rather involved, we then develop an approximate procedure for general holding times. In this procedure we record the number of trunks occupied at equidistant points in time ${\it \Delta},2{\it \Delta},\ldots$, where ${\it \Delta}$ is chosen sufficiently large to safely assume that the samples are independent; this procedure is backed by results on the transient of the M/G/*** queue. The validity of the testing procedures is demonstrated through an extensive set of numerical experiments.