Abstract-Our goal is to design a traffic model for non congested Internet backbone links, which is simple enough to be used in network operation, while being as general as possible. The proposed solution is to model the traffic at the flow level by a Poisson shot-noise process. In our model, a flow is a generic notion that must be able to capture the characteristics of any kind of data stream. We analyze the accuracy of the model with real traffic traces collected on the Sprint IP (Internet Protocol) backbone network. Despite its simplicity, our model provides a good approximation of the real traffic observed in the backbone and of its variation. Finally, we discuss the application of our model to network design and dimensioning.
Network traffic model for non-congested Internet backbone links based on the collected network flows can be represented by Poisson short-noise process and is able to find a good approximation for the average traffic on backbone link and its variations at short time scale REF .
Modeling Internet Backbone Traffic at the Flow Level
IEEE Transactions on Signal processing
Computer Science Mathematics