基于改进人工蜂群算法的边缘服务器部署策略

EDGE SERVER DEPLOYMENT STRATEGY BASED ON IMPROVED ARTIFICIAL BEE COLONY ALGORITHM

  • 摘要: 作为移动边缘计算架构部署的第一步,边缘服务器的部署是基础和关键,其部署位置与用户体验和系统性能密切相关,但是目前较少有研究关注该问题。研究无线城域网中移动边缘计算环境下的边缘服务器部署问题,以最小化响应时间为目标,将边缘服务器部署问题定义为一个优化问题,并提出基于交又的全局人工蜂群算法求解边缘服务器部署的最优解以降低系统的平均响应时间。充分的实验结果表明,所提算法能够有效降低系统响应时间,算法性能优于其他代表性部署算法。

     

    Abstract: As the first step in the deployment of mobile edge computing architecture,the deployment of edge servers is the foundation and key,and its deployment location is closely related to user experience and system performance,but there are currently few studies focusing on this problem.This paper studied the deployment of edge servers in the mobile edge computing environment in wireless metropolitan area networks.With the goal of minimizing response time,the edge server deployment problem was defined as an optimization problem,and a cross-global based artificial bee colony algorithm was proposed to solve the edge server deployment problem to reduce the average response time of the system.Sufficient experimental results show that the proposed algorithm can effectively reduce the average response time,and the algorithm performance is better than other representative deployment algorithms.

     

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