通信学报 ›› 2019, Vol. 40 ›› Issue (2): 51-59.doi: 10.11959/j.issn.1000-436x.2019031

• 学术论文 • 上一篇    下一篇

基于SDN的网络资源选择多目标优化算法

鲍楠1,左加阔1,胡晗1,鲍煦2   

  1. 1 南京邮电大学物联网学院,江苏 南京 210023
    2 江苏大学计算机科学与通信工程学院,江苏 镇江 212013
  • 修回日期:2019-01-05 出版日期:2019-02-01 发布日期:2019-03-04
  • 作者简介:鲍楠(1985- ),女,江苏靖江人,博士,南京邮电大学讲师,主要研究方向为异构网络资源优化。|左加阔(1985- ),男,山东枣庄人,博士,南京邮电大学讲师,主要研究方向为云无线接入网络资源管理、无线通信网络能效优化等。|胡晗(1985- ),女,湖北黄冈人,博士,南京邮电大学讲师,主要研究方向为认知无线电系统的频谱感知与频谱共享技术。|鲍煦(1982- ),男,江苏靖江人,博士,江苏大学副教授,主要研究方向为可见光通信技术、智能信号处理技术。
  • 基金资助:
    国家自然科学基金资助项目(61701255);江苏省自然科学基金资助项目(BK20150866);江苏省高校自然科学基金资助项目(15KJB510026);江苏省博士后基金资助项目(SBH17024);南京邮电大学科研项目——引进人才科研启动基金资助项目(NY214185);南京邮电大学科研项目——引进人才科研启动基金资助项目(NY215046);南京邮电大学科研项目——引进人才科研启动基金资助项目(NY217056)

SDN based network resource selection multi-objective optimization algorithm

Nan BAO1,Jiakuo ZUO1,Han HU1,Xu BAO2   

  1. 1 School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
    2 School of Computer Science &Communications Engineering,Jiangsu University,Zhenjiang 212013,China
  • Revised:2019-01-05 Online:2019-02-01 Published:2019-03-04
  • Supported by:
    The National Natural Science Foundation of China(61701255);The Natural Science Foundation of Jiangsu Province(BK20150866);The Natural Science Foundation of the Jiangsu Higher Education Institutions(15KJB510026);Postdoctoral Fund of Jiangsu Province(SBH17024);NUPTSF(NY214185);NUPTSF(NY215046);NUPTSF(NY217056)

摘要:

针对基于软件定义网络(SDN)的复杂结构中不同资源效用目标共存、资源选择策略相互影响的问题,提出了一种基于 SDN 的网络资源选择多目标优化算法。该算法综合考虑资源供给方和客户方对资源效用的不同优化目标,构建资源选择多目标优化模型,并采用基于参考矢量的多目标优化算法对模型求解。仿真结果表明,与其他资源优化算法相比,所提算法能够快速收敛得到均匀分布的非劣解集,均衡基于 SDN 资源接入管理时多方的优化目标。

关键词: 软件定义网络, 资源选择, 多目标优化, 参考矢量

Abstract:

For the problem of coexistence of different resource utility objectives and mutual influence of resource selection strategies in the complex structure of software-defined network (SDN),an SDN based network resource selection multi-objective optimization algorithm was proposed.The optimization goals of resource providers and clients were taken into account in the algorithm,and a resource selection multi-objective optimization model was constructed.The model was further solved by the reference vector based multi-objective optimization algorithm.Simulation results show that compared with other algorithms,the proposed algorithm could quickly converge to the uniformly distributed non-inferior solution set,and balance the optimization objects of multi-party in SDN based resource access management.

Key words: software-defined network, network resource selection, multi-objective optimization, reference vector

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