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基于改进遗传算法的中小企业上云资源优化配置

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为有效降低企业的上云成本,显著提升资源利用率,利用改进遗传算法,提出了中小企业上云资源优化配置研究.分析中小企业上云资源需求,为优化配置提供科学依据.设定资源配置的目标函数与约束条件,利用改进遗传算法,通过模拟自然选择和遗传机制寻找最优资源配置方案,对上云资源进行优化配置.实验结果表明:该方法应用后,将企业每月总成本成功降低了1300元,资源利用率也得到了显著提升,是最合理和经济的选择.
Optimization of cloud resource allocation for small and medium sized enterprises based on improved genetic algorithm
In order to effectively reduce the cost of cloud deployment for enterprises and significantly improve resource utiliza-tion,an improved genetic algorithm is proposed to optimize the allocation of cloud resources for small and medium-sized enter-prises.Analyze the cloud resource requirements of small and medium-sized enterprises to provide scientific basis for optimizing configuration.Set the objective function and constraints for resource allocation,use an improved genetic algorithm to simulate natu-ral selection and genetic mechanisms to find the optimal resource allocation plan,and optimize the allocation of cloud resources.The experimental results show that after applying this method,the total monthly cost of the enterprise has been successfully re-duced by 1300 yuan/month,and the resource utilization rate has also been significantly improved,making it the most reasonable and economical choice.

improved genetic algorithmsmall and medium-sized enterprisescloud resourcesoptimizationconfiguration

吴亚楠、王玉洁

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贵州省数据流通交易服务中心,贵阳 550001

贵州航天云网科技有限公司,贵阳 550001

改进遗传算法 中小企业 云资源 优化 配置

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(24)