通信学报 ›› 2012, Vol. 33 ›› Issue (Z2): 25-34.doi: 10.3969/j.issn.1000-436x.2012.z2.005

• 学术论文 • 上一篇    下一篇

网络虚拟化环境中底层资源的动态选择研究——一种基于演化博弈的方法

杨宇1,陈山枝2,李昕1   

  1. 1 北京邮电大学 网络与交换技术国家重点实验室,北京 100876
    2 电信科学技术研究院 无线移动通信国家重点实验室,北京 100083
  • 出版日期:2012-11-25 发布日期:2017-08-03
  • 基金资助:
    国家重大科技专项基金资助项目;国家重大科技专项基金资助项目;国家重点基础研究发展计划(“973”计划)基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;中央高校基本科研业务费专项资金资助项目;中央高校基本科研业务费专项资金资助项目

Dynamics of substrate resource selection in network virtualization environment——an evolutionary game approach

Yu YANG1,Shan-zhi CHEN2,Xin LI1   

  1. 1 State Key Lab of Switching and Networking Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China
    2 State Key Lab of Wireless Mobile Communication,China Academy of Telecommunication Technology,Beijing 100083,China
  • Online:2012-11-25 Published:2017-08-03
  • Supported by:
    The National Science and Technology Major Project;The National Science and Technology Major Project;The National Basic Research Program of China (973 Program);The National High Technology Research and Development Program of China (863 Program);The Fundamental Research Funds for the Central Universities;The Fundamental Research Funds for the Central Universities

摘要:

从虚拟网络的角度考虑虚拟网络对底层资源的选择问题,将虚拟网络对底层网络中物理路径的自主选择抽象成一个演化博弈,虚拟网络通过反复博弈学习来调整物理路径的选择。利用模仿者动态方程分析博弈中不同策略的比例动态变化,证明了模仿者动态是底层资源动态选择博弈的合理策略更新机制。应用势博弈理论分析了博弈的演化过程,证明了演化的结果会达到演化平衡,确保了每个虚拟网络都获得了最优策略选择。最后基于模仿者动态策略选择机制提出了一个演化算法,通过数值仿真模拟了不同初始策略分布下虚拟网络对底层网络路径的选择过程,实验结果表明演化博弈收敛到了稳定点,仿真结果与理论分析的结果相吻合。

关键词: 网络虚拟化环境, 演化博弈, 模仿者动态, 势博弈, 演化平衡

Abstract:

The substrate network path selection problem of virtual network was modeled as an evolutionary game.In the process of evolutionary game,virtual networks adjusted the strategies through the iterated game.The replicator dynamics were leveraged equation to analyze the dynamic variation of strategies selection and demonstrates that this dynamics equation is the admissible dynamic to the evolutionary game.The potential game theory was used to analyze the evolutionary process and demonstrates the evolutionary result will converge to the evolutionary equilibrium.At the evolutionary equilibrium,all the virtual networks could get the best selection strategies.Finally,an evolutionary algorithm based on replicator dynamics was proposed.The experiments simulate the process of virtual network selecting the substrate paths in different initial state and reach the evolutionary equilibrium.Simulation results are coincided with the theoretical analysis results.

Key words: network virtualization environment, evolutionary games, replicator dynamics, potential games, evolutionary equilibrium

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