Towards controller placement problem for software‐defined network using affinity propagation

作者：Jianlong Zhao, Jianlong Zhao, Hua Qu, Jihong Zhao, Jihong Zhao, Zhirong Luan, Ya Guo · 发表于：Electronics Letters · 年份：2017 · DOI：10.1049/el.2017.0093 · 被引用次数：37 · 研究领域：Software-Defined Networks and 5G、Advanced Optical Network Technologies、Interconnection Networks and Systems

This Letter investigates multi‐controller placement problem for software‐defined network aiming at minimising the propagation latency between switches and associated controllers. Distinct from the standard clustering‐based partition approaches, a modified exemplar‐based clustering method based on affinity propagation is presented to address the problem. Instead of specifying beforehand the number and locations of controllers, this method can learn the optimal number and locations of controllers adaptively according to network topology. Extensive simulation results demonstrate that the proposed method can provide more stable and accurate controller placement results in terms of latency minimisation compared with k‐median and k‐centre methods.