Improving network health monitoring accuracy based on data fusion for software defined networking

Abstract

Software defined networking (SDN) provides programmable centralized control architecture by separating and abstracting the control plane from the underlying forwarding system. In addition to enabling new applications such as traffic engineering and network virtualization, SDN also simplifies and automates network administrations to achieve increased network reliability and security. However, since events that occur within the network should be inferred by a centralized remote SDN controller, to make an accurate decision in time, the network event management should be able to effectively monitor and analysis the events. In this paper, we propose an efficient network health monitoring based on data fusion strategies to improve the decision accuracy for the centralized remote SDN controller. © 2014 Springer-Verlag.