Identification of Network Bricks in Heterogeneous Scenarios

Accurate identification of network elements (network bricks) composing end-to-end paths represents a novel and interesting research topic. In heterogeneous scenarios, automatic network bricks identification can improve the performance of adaptive and network-aware applications. This work proposes an approach, based on Bayesian classifiers, for the identification of network bricks belonging to a large number of real heterogeneous end-to-end paths. The identification is performed by means of measurement and off-line observation of delay, jitter, and packet loss. We introduce the term "blind identification" meaning the capability to identify network bricks, by looking at quality of service (QoS) parameters observed on the end-to-end path. We propose first insights and preliminary results regarding the identification stage, based on both concise and detailed QoS parameters statistics. Moreover, we show some results of the identification performed using a reduced set of QoS parameters