Today's networks are getting more complex every day. Therefore studying connectivity, robustness and node importance features about them is getting more crucial. Since network technologies have strong relationship with network graphs and consequently with the concept of Graph theory in mathematics, an analytical model of calculation, comparison and prediction is established while experimenting prototypes of the model on a real platform.
The model creates a variety of both classic and random graphs via scripts and tries to use or define new connectivity, robustness and node importance variables on each type of the graphs. Later on, it will experiment the variables on a testbed with simulated network technologies.
The new technology, Openflow has been chosen as the platform to test the network technologies via a simulated environment. Despite traditional networks, this platform has a centralized controller as the brain of the whole network. The effects of that, would be considered in the experiments as well.