Sorry for any misconception I could introduce with my former posting. I wanted to remark the fact that the randomness of data network behavior has been explained in a more simplier way with these facts:
- Poisson describes input and output traffic behavior.
- Markov describes (Model M/M/1) the behavior of the output route manager (1 stands for one I/O).
- There are parameters to predict the average behavior of the router, like: packet sizes, queue depth, binary speed and so.
There is no circuit seizure, as the model operates with packet store and forward. There is that I didn’t understand the use of Erlangs.