摘要
当前云计算资源负载均衡方法存在资源负载极不均衡、资源浪费严重等缺陷,为了提高云计算资源利用率,保证云计算资源负载均衡,提出基于改进快速稀疏算法的云计算资源负载均衡方法。首先对当前云计算资源负载均衡研究现状进行分析,找到引起云计算资源负载不均衡的原因,然后利用快速稀疏算法对云计算任务进行预处理,建立云计算资源负载均衡问题的数学模型,最后采用自适应遗传算法对云计算资源负载均衡问题的数学模型进行求解。与其它方法一起进行了云计算资源负载均衡仿真实验,结果表明,提出的方法可以更好地保证云计算资源负载均衡,防止“过负载”现象产生,提高云计算资源利用率,具有更高的实际应用价值。
Current cloud computing resource load balancing methods have some shortcomings such as unbalanced resource load and serious waste of resources.In order to improve the utilization rate of cloud computing resources and ensure the load balancing of cloud computing resources,a cloud computing resource load balancing method based on improved fast sparse algorithm is proposed.Firstly,the current research status of cloud computing resource load balancing is analyzed,and the causes of cloud computing resource load unbalance are found.Then,the fast sparse algorithm is used to pre-process cloud computing tasks,and a mathematical model of cloud computing resource load balancing problem is established.Finally,adaptive genetic algorithm is used to solve the mathematical model of cloud computing resource load balancing problem,and the model is solved by it.The simulation results show that this method can better ensure the load balance of cloud computing resources than these existed methods,prevent the"overload"phenomenon,improve the utilization of cloud computing resources,and has higher practical value.
作者
李菁
LI Jing(The Branch Courts of Mechanical and Electronic Engineering,Hunan Electronic Science andTechnology Institute,Changsha 410000)
出处
《微型电脑应用》
2019年第10期36-38,共3页
Microcomputer Applications
基金
2016年度湖南省教育厅科研课题(16C0362)
关键词
云计算技术
稀疏分解算法
负载均衡
资源利用率
Cloud computing technology
Sparse decomposition algorithm
Load balancing
Resource utilization
