基于KVM虚拟化在线迁移优化方案研究

Research on virtualization online migration optimization scheme based on KVM

针对云计算环境下在线迁移的问题,文章提出了一种基于内核虚拟机的在线迁移优化方案,研究目的是在KVM虚拟化平台中实现虚拟机跨越迁移,保证数据的两端一致性,从而实现各种大型云平台负载平衡、系统的实现运行和维护、保证虚拟机性能的稳定性和可靠性。实践证明提出的优化方案能够很好地解决线上各种迁移场景转换,为迁移工作的稳定与可靠提供了重要技术支持。

Aiming at the problem of online migration in cloud computing environment, an online migration optimization scheme based on kernel-based virtual machine is proposed. The purpose of this study is to realize the virtual machine migration across the KVM virtualization platform to ensure the consistency of the two ends of the data, so as to realize the load balancing of various large-scale cloud platforms, the realization of system operation and maintenance and the system, ana ensure me staoulty aria rcnaomty o~ tttc v~ tu,t~ machine performance. Cloud platform load balancing and system implementation and maintenance ensure the stability and reliability of virtual machine performance. Practice has proved that the proposed optimization scheme can well solve all kinds of migration scenarios transitions online and then provides important technical support for the stability and reliability of the migratory work.