摘要
对于云计算而言,虚拟机资源的合理高效配置具有重要意义.该文对粒子群方法进行到云计算资源配置的映射,详细地设计了3个约束条件和目标函数.目标函数中包含了资源利用率和迁移次数2个优化目标,整个虚拟机资源的配置过程设置了8个步骤.实验结果表明:同2种参照方法相比,该文所提出的基于粒子群算法的云资源配置方法完成配置后,不仅资源利用率高、迁移次数低,其迭代过程和迭代时间也令人满意.
For cloud computing,the rational and efficient allocation of virtual machine resources is of great significance.In this paper,the particle swarm optimization（PSO）has been used to map the resource allocation of cloud computing,and three constraints and objective functions been designed in detail.The objective function includes two optimization objectives：the resource utilization rate and the number of migration,and the whole virtual machine resource allocation process is divided into 8steps.The experimental results show that,compared with the two reference methods,the proposed allocation of cloud resources allocation method based on particle swarm optimization algorithm is completed,not only the resource utilization rate,migration times low,the iterative process and the iteration time is satisfactory.
出处
《西南师范大学学报（自然科学版）》
CAS
北大核心
2017年第9期128-132,共5页
Journal of Southwest China Normal University(Natural Science Edition)
基金
广州番禺职业技术学院"十三五"科技项目(2016KJ007)
广州番禺职业技术学院"十二五"第二批科技项目(2015KJ003)
关键词
云计算
粒子群
资源调度
约束条件
cloud comput ing
particle swa rm
virtual machine schedulin g
DPalgorithm
