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Author:

Li, Feixiang (Li, Feixiang.) | Liu, Mingzhe (Liu, Mingzhe.) | Li, Ning (Li, Ning.) | He, Siyuan (He, Siyuan.) | Sun, Tian (Sun, Tian.) | Fang, Chao (Fang, Chao.)

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EI Scopus

Abstract:

Software defined networks (SDN) is a novel network architecture, which decouples the control layer and data layer of the original network architecture. This network architecture utilizes controller to control data transmission. With the expansion of network scale, a single controller is unable to manage the whole network, while multiple controllers need to be deployed. Consequently, how to deploy multiple controllers appropriately is a hot topic in SDN. Furthermore, many intelligent algorithms have been applied to solving this problem. In this paper, we employ Cuckoo Search Algorithm (CSA) to improve the ability of multi-controller deployment. In order to improve the local search ability of the algorithm, the standard CS algorithm is improved in this paper. Firstly, weight coefficient is introduced to adjust the convergence speed of the algorithm. Secondly, all individuals sort according to their function values, after sorting the population can be divided into two parts. The experimental results demonstrate that the modified CSA performs better than other algorithms in multi-controller deployment. © 2022 SPIE

Keyword:

Controllers Optimization Software defined networking Network architecture Learning algorithms Image processing

Author Community:

  • [ 1 ] [Li, Feixiang]The 15th Research Institute of China Electronics Technology Group Corporation, Beijing, China
  • [ 2 ] [Liu, Mingzhe]The 15th Research Institute of China Electronics Technology Group Corporation, Beijing, China
  • [ 3 ] [Li, Ning]The 15th Research Institute of China Electronics Technology Group Corporation, Beijing, China
  • [ 4 ] [He, Siyuan]The 15th Research Institute of China Electronics Technology Group Corporation, Beijing, China
  • [ 5 ] [Sun, Tian]Beijing Tsinghua Tongheng Urban Planning and Design Institute, Beijing, China
  • [ 6 ] [Fang, Chao]Beijing University of Technology, Beijing, China

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Source :

ISSN: 0277-786X

Year: 2022

Volume: 12250

Language: English

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 6

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