Control and visualization system for managed self-organization network

We propose the managed self-organizing network concept considering the unexpected network changes caused by the future applications, and implement the control and visualization system for it. In the managed self-organizing network, multiple virtual networks are accommodated on a single optical infrastructure. Each virtual network is controlled based on self-organizing mechanism by attractor selection algorithm that models behavior where living organisms adapt to unknown changes in their surrounding environments. On the other hand, the physical resource management server dynamically manages the resource allocation for each virtual network to optimize the utilization of total network resources. Our implemented system efficiently visualizes the behavior of managed self-organizing network with time variability, and network filtering and clustering functions are implemented for visualization of large and multiple virtual networks.