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
李波 1袁也 1侯鹏 1丁洪伟1
作者信息
- 1. 云南大学信息学院 云南昆明 650500
- 折叠
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,并提出基于交叉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.
关键词
移动边缘计算/边缘服务器/人工蜂群算法/计算卸载/组合优化Key words
Mobile edge computing/Edge server/Artificial bee colony algorithm/Computing offloading/Combination optimization引用本文复制引用
基金项目
国家自然科学基金(61562092)
云南大学研究生科研创新基金(2020311)
云南大学研究生科研创新基金(2020305)
出版年
2024
国家科技期刊平台
NSTL
万方数据