Likelihood-based assessment of dynamic networks
Submitted by richard on
This paper used a likelihood based framework to create a rigorous way to assess models of networks. Network evolution is broken down into an operation model (it decides the 'type' of change to be made to the network, e.g. "add node" "add link" "remove node" "remove link") and an object model (that decides the exact change -- which node/link to add).
The system is shown to be able to recover known parameters on artificial models and to be useful in analysis of real data.
This is the talk for the European Workshop on Software Defined Networks. It describes the implementation of OpenFlow 1.0 on a Gigabit Ethernet Passive Optical Network. The work describes a generic approach that should work on a number of different access technologies to make them OpenFlow ready. In specific, the work give details on what would be necessary to port the approach used to a new access device.