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基于虚拟机动态迁移的负载均衡优化研究

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为保证云计算环境下不同主机的虚拟机负载均衡性,本文基于改进蚁群优化(Ant Colony Optimization,AOC)算法、蚁群信息素更新规则,搭建起面向负载均衡的虚拟机动态迁移框架,将虚拟机列表、目的主机列表作出匹配,实现不同服务器间的虚拟机自主迁移、用户数据存储与管理。仿真实验结果得出,CloudSim云计算平台下使用改进AOC蚁群优化算法进行虚拟机部署,可同时物理服务器上虚拟机迁移效率、主机负载配置与调整水平,实现虚拟机动态迁移、数据资源匹配的平衡。
Optimization Research on Load Balancing Based on Dynamic Migration of Virtual Machines
In order to ensure the load balancing of virtual machines on different hosts in cloud computing environment,this paper builds a dynamic virtual machine migration framework for load balancing based on the improved Ant Colony Optimization(AOC)algorithm,ant colony pheromone updating rules,and matches the list of VMs and the list of destination hosts,so as to achieve the autonomous migration of VMs between different servers,user data storage and management.The simulation experiments show that the ClimateMaster is a powerful tool to achieve the dynamic migration of VMs between different servers.The simulation results show that using the improved AOC ant colony optimisation algorithm for VM deployment under the CloudSim cloud computing platform can achieve the balance between dynamic VM migration and data resource matching by simultaneously migrating VMs from physical servers and adjusting the host load configuration and adjustment level.

virtual machine dynamic migrationant colony algorithmload balancingcloud computing

刘华军

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91550部队,辽宁大连 116000

虚拟机动态迁移 蚁群算法 负载均衡 云计算

2024

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数码设计

ISSN:1672-9129
年,卷(期):2024.(10)