On network traffic statistical analysis

Statistical Model of Network Traffic

Statistical Models of Network Traffic

Model-based approaches have been applied successfully to a wide range of tasks such as specification, simulation, testing, and diagnosis. But one bottleneck often prevents the introduction of these ideas: Manual modeling is a non-trivial, time-consuming task. Automatically deriving models by observing and analyzing running systems is one possible way to amend this bottleneck. To derive a model ...

Statistical Characteristics of Multicast Traffic on a National Backbone Network

IP multicast catches Chinese researchers’ eyes recently as the deployment of non-tunnel multicast routing protocols throughout the CERNET mature. But characteristics of multicast traffic still need to be understood. Using our developed passive monitoring system, we observe multicast traffic on links connecting peer networks to our native multicast backbone network. First of all, we analyze of c...

A Statistical Method for Profiling Network Traffic

Two clustering methods are described and applied to network data. These allow the clustering of machines into “activity groups”, which consist of machines which tend to have similar activity profiles. In addition, these methods allow the user to determine whether current activity matches these profiles, and hence to determine when there is “abnormal” activity on the network. A method for visual...

Statistical Analysis of Freeway Traffic

Single-vehicle data of freeway traffic as well as selected Floating-Car (FC) data are analyzed in great detail. Traffic states are distinguished by means of aggregated data. We propose a method for a quantitative classification of these states. The data of individual vehicles allows for insights into the interaction of vehicles. The time-headway distribution reveals a characteristic structure d...