International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Distributed SDN Controllers
Distributed software-defined networks (SDN), consisting of multiple inter-connected network domains, each
managed by one SDN controller, is an emerging networking architecture that offers balanced centralized control and
distributed operations. Under such networking paradigm, most existing works focus on designing sophisticated controllersynchronization
strategies to improve joint controller-decision-making for inter-domain routing. However, there is still a lack
of fundamental understanding of how the performance of distributed SDN is related to network attributes, thus impossible to
justify the necessity of complicated strategies. In this regard, we analyze and quantify the performance enhancement of
distributed SDN architectures, influenced by intra-/inter-domain synchronization levels and network structural properties.
Based on a generic weighted network model, we establish analytical methods for performance estimation under four
synchronization scenarios with increasing synchronization cost. Moreover, two of these synchronization scenarios
correspond to extreme cases, i.e., minimum/maximum synchronization, which are, therefore, capable of bounding the
performance of distributed SDN with any given synchronization levels. Our theoretical results reveal how network
performance is related to synchronization levels and inter-domain connections, the accuracy of which are confirmed by
simulations based on both real and synthetic networks. This paper presents about Software Defined Network (SDN) which is
a new networking paradigm where the architecture moves from the traditional fully distributed model to a more centralized
Keywords - SDN Controller; Software Defined Network.
Author - V R Sudarsana Raju
Citation - V R Sudarsana Raju ,
V R Sudarsana Raju " Distributed SDN Controllers " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-7,Issue-5 ( May, 2019 )