|
|
Load Characterization, Overload Prediction and Load Anomaly
Detection in Voice Over IP Traffic
|
Authors
|
Michel Mandjes
Iraj Saniee
Sasha Stolyar
Bell Labs
|
Abstract
|
We consider the problem of traffic anomaly detection in
IP networks. Traffic anomalies arise when there is overload
due to failures in a network. We present general formulae for the
variance of the cumulative traffic over a fixed time
interval and show how the derived analytical expression
simplifies for the case of voice over IP traffic, the
focus of this paper. To detect load anomalies, we show
it is sufficient to consider cumulative traffic over
relatively long intervals such as 5 minutes.
This approach substantially
extends the current practice in IP network management
where only the first order statistics and fixed thresholds
are used to identify abnormal behavior.
|
|