Towards controller placement problem for software‐defined network using affinity propagation. Issue 14 (1st July 2017)

• Record Type: Journal Article
• Authors: Zhao, Jianlong; Qu, Hua; Zhao, Jihong; Luan, Zhirong; Guo, Ya
• Is Part Of: Electronics letters. Volume 53:Issue 14(2017)
• Page Start: 928
• Page End: 929
• Publication Date: 2017-07-01
• Subjects: pattern clustering -- minimisation -- telecommunication control -- telecommunication network topology -- software defined networking; software‐defined network -- affinity propagation -- multicontroller placement problem -- propagation latency minimisation -- switches -- modified exemplar‐based clustering method -- controller location learning -- network topology; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.0093
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.