Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1169-1173

Cross-domain virtual network mapping based on discrete particle swarm optimization and Kruskal algorithm in 5G network slicing

Wang Xiaolei
Chen Qiang
Liu Caixia
National Digital Switching System Engineering & Technology Research Center, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2017.10.1010

Abstract

5G mobile communication network hire more data centers of infrastructure provider to cooperate to construct network section, aiming at the efficiently cross domain virtual network mapping which was a key problem in network lifecycle management in network slice, this paper proposed a two stage cross domain mapping strategy, DPSO-K. Firstly, based on the resource bidding, it considered the resource of nodes and the bandwidth between domains, and proposed a optimized discrete particle swarm optimization(PSO) algorithm for inter domain virtual network mapping, which could effectively improve the searching ability; then, proposed a fast algorithm based on Kruise Karle minimum spanning tree to reduce the cost of intra domain mapping, which reduced the time of fragment instantiation and shortens the on-line speed of service. Compared to the traditional method of the first virtual network mapping request division unified mapping link, the strategy considered the bandwidth overhead in the request division, and payed attention to key link in mapping mapping link, mode of centralized management, distributed control, to realize the effective use of physical and cyber source. Experimental results show that this algorithm can achieve higher acceptance rate with less overhead and less partitioning time.

Foundation Support

国家自然科学基金资助项目(61602509)
国家自然科学基金创新群体项目(61521003)
国家重点研发计划项目(2016YFB0800100,2016YFB0800101)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.1010
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Network & Communication
Pages: 1169-1173
Serial Number: 1001-3695(2019)04-046-1169-05

Publish History

[2019-04-05] Printed Article

Cite This Article

王晓雷, 陈强, 刘彩霞. 5G网络切片中基于离散粒子群和Kruskal算法的跨域虚拟网络映射 [J]. 计算机应用研究, 2019, 36 (4): 1169-1173. (Wang Xiaolei, Chen Qiang, Liu Caixia. Cross-domain virtual network mapping based on discrete particle swarm optimization and Kruskal algorithm in 5G network slicing [J]. Application Research of Computers, 2019, 36 (4): 1169-1173. )

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.

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