On the Impact of Sampling on Traffic Monitoring and Analysis
Due to significant advances in transmission technology and to the corresponding increase of link rates, traffic sampling is becoming a normal way of operation in traffic monitoring. Given this trend, in this paper the authors aim to assess the impact of the sampling on a wide range of tasks which are typical of an operational network. They follow an experimental approach, exploiting passive analysis of network traffic flows, taking into account different sampling policies (e.g., systematic, uniform and stratified) and different sampling rates. To quantify the amount of degradation and bias that sampling introduces with respect to the unsampled traffic they use well-known statistical measures (i.e., Hellinger Distance, Fleiss Chi-Square).