摘要
针对目前资源分配方法存在的资源利用率与分配效率较低的问题,提出一种新的基于萤火虫算法的边缘云资源分配方法。根据目标函数适用度的概念,对资源进行加权处理。采用五元组描述调度模型,完成边缘云资源调度模型的构建。构建边缘资源分配的目标函数,通过萤火虫初始化完成荧光素的更新,确定移动概率与移动距离,并计算出最优解,对局部范围进行更新,从而完成目标函数的求解,实现边缘云资源的分配。实验结果表明,基于萤火虫算法的边缘云资源分配方法能够有效提高收敛速度,收敛值最低达到0.7;动态能耗实验下,该方法的最低能耗仅为20kW,并且分配效率提高20%以上。
Aiming at the low resource utilization and allocation efficiency of current resource allocation methods,a new edge cloud resource allocation method based on firefly algorithm is proposed.According to the concept of the applicability of the objective function,the resources are weighted.Five tuples are used to describe the scheduling model and complete the construction of the edge cloud resource scheduling model.The objective function of edge resource allocation is built,the fluorescein through firefly ini⁃tialization is updated,the moving probability and distance is determined,the optimal solution is calculated,and the local range is updated,so as to complete the solution of the objective function and realize the allocation of edge cloud resources.The experimental results show that the edge cloud resource allocation method based on firefly algorithm can effectively improve the convergence speed,and the minimum convergence value is 0.7.Under the dynamic energy consumption experiment,the minimum energy con⁃sumption of this method is only 20kW,and the distribution efficiency is improved by more than 20%.
作者
陈刚
CHEN Gang(School of Data Science,Guangzhou Huashang College,Guangzhou 511300)
出处
《计算机与数字工程》
2023年第1期152-155,174,共5页
Computer & Digital Engineering
基金
国家自然科学基金项目(青年基金)(编号:61403219)
广州华商学院校内导师制科研项目(编号:2023HSDS07)资助
关键词
萤火虫算法
边缘云资源
云资源分配
目标函数
firefly algorithm
edge cloud resources
cloud resource allocation
objective function
