Application of Improved Multi-Objective Bacterial Foraging Algorithm in Virtual Network Mapping Algorithm
For the virtual network mapping problem, consideration of many aspects will be more comprehensive. In this paper, the multi-objective bacterial foraging optimization algorithm is improved to solve this problem. First, because the virtual network mapping problem is a discrete problem, the operator of...
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| Published in | Journal of physics. Conference series Vol. 1237; no. 2; pp. 22099 - 22106 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.06.2019
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| Online Access | Get full text |
| ISSN | 1742-6588 1742-6596 1742-6596 |
| DOI | 10.1088/1742-6596/1237/2/022099 |
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| Abstract | For the virtual network mapping problem, consideration of many aspects will be more comprehensive. In this paper, the multi-objective bacterial foraging optimization algorithm is improved to solve this problem. First, because the virtual network mapping problem is a discrete problem, the operator of the algorithm is redefined as discrete; secondly, the resource congestion factor and 2-opt algorithm are introduced in the chemotaxis operation of the algorithm, and the cross-factor is introduced in the copy operation, so that the found solution is better. At the same time, the node resource load balance degree and the minimum cost are used as the fitness function, so that the found solution solves the problem more. The experimental results show that the algorithm is used to solve the virtual network mapping problem. The algorithm has good validity and stability in both large-scale virtual network requests and standard cases. |
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| AbstractList | For the virtual network mapping problem, consideration of many aspects will be more comprehensive. In this paper, the multi-objective bacterial foraging optimization algorithm is improved to solve this problem. First, because the virtual network mapping problem is a discrete problem, the operator of the algorithm is redefined as discrete; secondly, the resource congestion factor and 2-opt algorithm are introduced in the chemotaxis operation of the algorithm, and the cross-factor is introduced in the copy operation, so that the found solution is better. At the same time, the node resource load balance degree and the minimum cost are used as the fitness function, so that the found solution solves the problem more. The experimental results show that the algorithm is used to solve the virtual network mapping problem. The algorithm has good validity and stability in both large-scale virtual network requests and standard cases. For the virtual network mapping problem, consideration of many aspects will be more comprehensive. In this paper, the multi-objective bacterial foraging optimization algorithm is improved to solve this problem. First, because the virtual network mapping problem is a discrete problem, the operator of the algorithm is redefined as discrete; secondly, the resource congestion factor and 2- opt algorithm are introduced in the chemotaxis operation of the algorithm, and the cross-factor is introduced in the copy operation, so that the found solution is better. At the same time, the node resource load balance degree and the minimum cost are used as the fitness function, so that the found solution solves the problem more. The experimental results show that the algorithm is used to solve the virtual network mapping problem. The algorithm has good validity and stability in both large-scale virtual network requests and standard cases. |
| Author | Li, Jun Qu, Yihui |
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| Cites_doi | 10.1109/MCOM.2009.5183468 10.1109/SURV.2013.013013.00155 |
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| References | Chowdhury (JPCS_1237_2_022099bib1) 2009; 47 Cheng (JPCS_1237_2_022099bib7) 2011; 39 Chunhuan (JPCS_1237_2_022099bib15) 2006; 18 Xiaoling (JPCS_1237_2_022099bib3) 2012 Ying (JPCS_1237_2_022099bib11) 2016; 37 Shahin (JPCS_1237_2_022099bib5) 2015; 6 Wei (JPCS_1237_2_022099bib10) 2016; 38 Jun (JPCS_1237_2_022099bib13) 2013; 30 Xiang (JPCS_1237_2_022099bib2) 2011; 32 Mosharaf (JPCS_1237_2_022099bib6) 2009 Chen (JPCS_1237_2_022099bib9) 2016 Melo (JPCS_1237_2_022099bib12) 2015; 91 Ying (JPCS_1237_2_022099bib8) 2014; 36 Fischer (JPCS_1237_2_022099bib4) 2013; 15 Yongzhen (JPCS_1237_2_022099bib14) 2014; 31 |
| References_xml | – volume: 32 start-page: 143 year: 2011 ident: JPCS_1237_2_022099bib2 article-title: A review of virtual network mapping problems[J] publication-title: Journal of Communications – volume: 18 start-page: 3115 year: 2006 ident: JPCS_1237_2_022099bib15 article-title: A New Network Simulation Topology Generator[J] publication-title: Journal of System Simulation – volume: 6 year: 2015 ident: JPCS_1237_2_022099bib5 article-title: Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding[J] publication-title: International Journal of Advanced Computer Science & Applications – year: 2016 ident: JPCS_1237_2_022099bib9 article-title: A Virtual Network Mapping Method Based on Cloud Modified Particle Swarm Optimization[J] – start-page: 3009 year: 2012 ident: JPCS_1237_2_022099bib3 article-title: Research and Development of Virtual Network Mapping Problem[J] publication-title: Journal of Software – volume: 36 start-page: 2169 year: 2014 ident: JPCS_1237_2_022099bib8 article-title: Application of Improved Particle Swarm Optimization Algorithm in Virtual Network Mapping[J] publication-title: Computer Engineering and Science – volume: 30 start-page: 344 year: 2013 ident: JPCS_1237_2_022099bib13 article-title: Research and Improvement of Bacterial Foraging Optimization Algorithm[J] publication-title: Computer Simulation – volume: 38 start-page: 728 year: 2016 ident: JPCS_1237_2_022099bib10 article-title: Research on Cross-domain Virtual Network Mapping Problem[J] publication-title: Journal of Electronics & Information Technology – volume: 47 start-page: 20 year: 2009 ident: JPCS_1237_2_022099bib1 article-title: Network virtualization: state of the art and research challenges[J] publication-title: Communications Magazine IEEE doi: 10.1109/MCOM.2009.5183468 – volume: 39 start-page: 2240 year: 2011 ident: JPCS_1237_2_022099bib7 article-title: Virtual Network Mapping Algorithm Based on Particle Swarm Optimization[J] publication-title: Chinese Journal of Electronics – volume: 37 start-page: 106 year: 2016 ident: JPCS_1237_2_022099bib11 article-title: Bayesian virtual network mapping of time and energy perception[J] publication-title: Journal on Communications – volume: 91 start-page: 184 year: 2015 ident: JPCS_1237_2_022099bib12 article-title: Optimal virtual network embedding: Energy aware formulation[J] publication-title: Computer Networks the International Journal of Computer & Telecommunications Networking – volume: 15 start-page: 1888 year: 2013 ident: JPCS_1237_2_022099bib4 article-title: Virtual Network Embedding: A Survey[J] publication-title: IEEE Communications Surveys & Tutorials doi: 10.1109/SURV.2013.013013.00155 – year: 2009 ident: JPCS_1237_2_022099bib6 – volume: 31 start-page: 3642 year: 2014 ident: JPCS_1237_2_022099bib14 article-title: Discrete bacterial foraging algorithm for solving TSP[J] publication-title: Journal of Computer Applications |
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| SubjectTerms | Algorithms Mapping Minimum cost Multiple objective analysis Optimization Virtual networks |
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| Title | Application of Improved Multi-Objective Bacterial Foraging Algorithm in Virtual Network Mapping Algorithm |
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