A Distributed Control of Virtual Network Topologies by Using Attractor Selection Model

Our research group has proposed a VNT control method that is adaptive to traffic changes. The method is based on a dynamical system, called attractor selection, that models behavior where living organisms adapt to unknown changes in their surrounding environments and recover their conditions. However, since our previously proposed VNT control method relies on the centralized calculation of system variables, the computational overhead drastically increases as the size of network increases. Then we have proposed a distributed calculation method to construct a virtual network topology in IP-over-WDM networks. Our method is again based on the attractor selection model, but the adaptavility has not been shown yet. In this paper, we show our proposed method is adaptive to traffic changes. Evaluation results show that success rate of our method is almost same as one of our previously proposed VNT control method.