Algorithm Research & Explore
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2671-2676,2694

SDN multi-controller load balancing mechanism based on improved genetic algorithm

Xu Aixin1,2
Sun Shimin1,2
Wang Xiaofan1,2
Xu Guowei1,2
Wang Meiyu1,2
1. School of Software, Tiangong University, Tianjin 300387, China
2. Tianjin Key Laboratory of Autonomous Intelligent Technology & System, Tianjin 300387, China

Abstract

This paper proposed the non-cooperative game theory-based of load-reduction master controller reselection model in software defined networking to address the multi-controller load imbalance problem, called GTMCR. Firstly, it utilized the overload dynamic thresholds approach(ODT) to discriminate the overload controller. Next, the migration of switches followed a priority decision switching strategy(PDSS). Finally, the constructed optimization model took the load balancing degree of controller clusters, average total delay and switch migration cost as utility functions. To prevent the global optimal solution from slipping into the local optimum, the solution value of optimal deployment used the genetic algorithm for improved multi-objective optimization(GAIMO) with the addition of a similarity operator to boost the algorithm's convergence speed and the accuracy of the global optimal solution. The experimental results show that this mechanism effectively balances the control plane load while achieving the goal of optimizing network performance.

Foundation Support

国家自然科学基金资助项目(61802281,61702366,61972456)
天津市自然科学基金资助项目(19JCYBJC15800)
专用集成电路与系统国家重点实验室(复旦大学)开放课题(2021KF014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0070
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2671-2676,2694
Serial Number: 1001-3695(2022)09-017-2671-06

Publish History

[2022-05-06] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

徐爱鑫, 孙士民, 汪晓凡, 等. 基于改进遗传算法的SDN多控制器负载均衡机制研究 [J]. 计算机应用研究, 2022, 39 (9): 2671-2676,2694. (Xu Aixin, Sun Shimin, Wang Xiaofan, et al. SDN multi-controller load balancing mechanism based on improved genetic algorithm [J]. Application Research of Computers, 2022, 39 (9): 2671-2676,2694. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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