西安电子科技大学学报 ›› 2021, Vol. 48 ›› Issue (4): 20-26.doi: 10.19665/j.issn1001-2400.2021.04.003

• 信息与通信工程&电子科学与技术 • 上一篇    下一篇

面向多接入边缘计算的VNFM分布式部署方案

马悦1(),张玉梅2()   

  1. 1.陕西中医药大学 信息化建设管理处,陕西 咸阳 712046
    2.陕西师范大学 计算机科学学院,陕西 西安 710119
  • 收稿日期:2020-03-28 出版日期:2021-08-30 发布日期:2021-08-31
  • 通讯作者: 张玉梅
  • 作者简介:马 悦(1988—),女,工程师,硕士,E-mail: 1361007@sntcm.edu.cn
  • 基金资助:
    陕西省重点研发计划一般项目(2019GY-217)

Method for distributed deployment of the virtual network function manager for MEC

MA Yue1(),ZHANG Yumei2()   

  1. 1. Information Construction Management Office,Shaanxi University of Chinese Medicine,Xianyang 712046,China
    2. School of Computer Science,Shaanxi Normal University,Xi’an 710119,China
  • Received:2020-03-28 Online:2021-08-30 Published:2021-08-31
  • Contact: Yumei ZHANG

摘要:

针对移动边缘计算架构下的虚拟网络功能管理器的部署问题,提出一种基于免疫优化算法的分布式部署方案。首先,利用混合整数规划建立虚拟网络功能管理器的部署模型;然后,给出一种基于免疫优化算法的部署方案。算法以最小化通信开销为目标,综合考虑个体的抗体亲和度和抗原亲和度,结合种群中个体适应度以及免疫系统的多样性特征,实现虚拟网络功能管理器的优化部署。仿真结果表明,相比于现有部署方案,新提出部署方案的个体评价机制能够更全面地描述虚拟网络功能管理器部署问题中个体的适应度和个体间的相似度;能够有效避免算法在部署过程中陷入局部最优解,提高算法性能;并且能够加速算法收敛,降低算法执行的时间。

关键词: 多接入边缘计算, 免疫优化算法, 虚拟网络功能部署

Abstract:

Aiming at achieving efficient virtual network function deployment under the Mobile edge computing (MEC) architecture,a virtual network function manager (VNFM) deployment method based on the immune optimization algorithm is proposed.First,a mixed integer programming model is used to build the mathematical model of VNFM deployment.Then,a deployment solution based on the immune optimization algorithm is given.Aiming at obtaining the optimal deployment solution towards the minimum communication cost,the algorithm comprehensively considers the antibody affinity and antigen affinity of chromosomes with respect to individual fitness in the population and the diversity characteristics of the immune system,respectively.Simulation results show that compared with the current deployment method,the individual evaluation mechanism of the proposed algorithm can more effectively evaluate the fitness and similarity of individuals in VNFM deployment problems.The proposed method can effectively prevent the algorithm from falling into the local optimum during the deployment process.The optimal solution improves the performance of the algorithm;it can speed up the algorithm’s convergence efficiency and simultaneously reduce the CPU time for algorithm execution.

Key words: multi-access edge computing, immune optimization algorithm, virtual network function manager deployment

中图分类号: 

  • TP393
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