云计算环境下的虚拟机负载均衡遗传算法应用  

Application of Genetic Algorithm in Virtual Machine Load Balancing in Cloud Computing Environments

作　　者：杨震南 柳燕 王新奇 YANG Zhennan;LIU Yan;WANG Xinqi(Beijing Zhiwang Digital Technology Co.,Ltd.,Beijing 100013,China)

机构地区：[1]北京智网数科技术有限公司,北京100013

出　　处：《智能物联技术》2025年第1期21-25,共5页Technology of Io T& AI

摘　　要：随着云计算技术的不断发展,虚拟机负载均衡成为提高系统性能和资源利用率的重要手段。提出一种基于遗传算法的虚拟机负载均衡方法,旨在通过智能调度优化云计算环境中的资源分配。该方法通过遗传算法的选择、交叉和变异操作,不断优化虚拟机的分配策略,以达到平衡系统负载、降低迁移次数并提升资源利用率的目标。结果表明,基于遗传算法的负载均衡方法显著提高了资源利用率,有效降低了系统开销。尤其在高负载环境下,遗传算法能够缩短系统响应时间。With the continuous development of cloud computing technology,virtual machine load balancing has become an important means to enhance system performance and resource utilization.This paper proposes a virtual machine load balancing method based on a genetic algorithm aimed at optimizing resource allocation in cloud computing environments through intelligent scheduling.By utilizing the selection,crossover,and mutation operations of the genetic algorithm,the proposed method iteratively optimizes virtual machine allocation strategies to achieve balanced system loads,reduced migration frequency,and improved resource utilization.The results show that the genetic algorithm-based load balancing approach significantly enhances resource utilization,effectively lowering system overhead.Particularly in high-load scenarios,the genetic algorithm optimized system response time.

关 键 词：虚拟机负载均衡 遗传算法 资源利用率 云计算 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]