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Virtual SDN Network Mapping Algorithm Based on Particle Swarm Optimization

ZHAO Siyi,CHEN Jing,GONG Shuiqing   

  1. (College of Information and Navigation,Air Force Engineering University,Xi’an 710077,China)
  • Received:2016-03-24 Online:2016-12-15 Published:2016-12-15

基于粒子群优化的虚拟SDN网络映射算法

赵思逸,陈靖,龚水清   

  1. (空军工程大学 信息与导航学院,西安 710077)
  • 作者简介:赵思逸(1992—),女,硕士研究生,主研方向为网络虚拟化;陈靖,教授、博士;龚水清,博士研究生。
  • 基金资助:
    国家自然科学基金(61401499);陕西省自然科学基金(2015JM6340)。

Abstract: Aiming at Software Defined Network(SDN) virtualization environment,an efficient virtual SDN network mapping algorithm is proposed to minimize network mapping overhead.Based on the Particle Swarm Optimization(PSO) algorithm,it redefines the position,velocity and related operations of the particles according to the model of the virtual SDN network,and the mapping problem is solved by iterative optimization of particles.Simulation results indicate that the algorithm improves the resource utilization and the acceptance ratio,and reduces the average controller-to-switch delay.

Key words: Software Defined Network(SDN), network virtualization, virtual network mapping, controller development, Particle Swarm Optimization(PSO)

摘要: 针对软件定义网络(SDN)虚拟化环境,以最小化网络映射开销为映射目标,提出一种高效的虚拟SDN网络映射算法。该算法使用粒子群优化算法,根据虚拟SDN网络映射模型定义粒子的位置、速度和相关操作,采用粒子的迭代优化求解映射问题。仿真结果表明,该算法能提高底层物理网络的资源利用率和映射成功率,降低交换机到控制器的通信时延。

关键词: 软件定义网络, 网络虚拟化, 虚拟网络映射, 控制器部署, 粒子群优化

CLC Number: