面向SDN的虚拟网络映射算法研究  

Research on mapping algorithm of virtual network oriented to SDN

作　　者：王健[1] 赵国生[2] 李志新 

机构地区：[1]哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨150080 [2]哈尔滨师范大学计算机科学与信息工程学院,黑龙江哈尔滨150025

出　　处：《通信学报》2017年第10期26-35,共10页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61403109;No.61202458);高等学校博士学科点专项科研基金资助项目(No.20112303120007);黑龙江省自然科学基金资助项目(No.F2017021);哈尔滨市科技创新人才研究专项资金资助项目(No.2016RAQXJ036)~~

摘　　要：针对虚拟网络的映射问题,提出一种在SDN环境下基于蚁群混合遗传算法的虚拟网络映射方法。通过建立线性规划模型,将映射过程分为节点映射和链路映射,首先基于该融合算法将虚拟节点映射到物理节点上,再利用最短路径算法将虚拟链路映射到物理链路上,以此提高虚拟网络请求的接受率。仿真实验结果表明,与D-ViNE、R-ViNE以及RW-BFS相比,蚁群混合遗传算法能有效地将虚拟网络请求的接受率提高10%,并较好地改善了节点和链路的平均利用率以及映射的收益成本比值。In order to solve the problem of virtual network mapping, a mapping method based on ant colony hybrid genetic algorithm was put forward under SDN environment, which established a linear programming model for virtual network mapping, and divided the mapping process into node mapping and link mapping. Firstly, the fusion algorithm was adopted, in which virtual nodes were mapped to physical nodes. Then the shortest path algorithm was used to map the virtual link to a physical link. On this basis, the acceptance ratio of virtual network requests can be improved. Simulation experiment results show that acceptance rate of virtual network requests can be increased by 10% efficiently using the ant colony hybrid genetic algorithm, compared with existing mapping algorithms D-ViNE, RW-BFS and R-ViNE. Further more, proposed method can greatly improve the average utilization rate of nodes and links and the ratio of the mapping income to cost.

关 键 词：SDN 网络虚拟化 蚁群混合遗传算法 虚拟网络映射 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]