云计算中虚拟机资源自动配置技术的研究

针对云资源管理者所面临的负载动态变化以及弹性资源需求等问题，提出一种虚拟机资源的自动配置管理技术，把强化学习技术引入云虚拟资源的管理，将虚拟机的配置管理过程建模为马尔可夫决策模型，根据系统的运行状态以及输入负载的动态变化自动决策添加或删除虚拟机的行为。实验结果验证了本技术能够根据负载的动态变化完成云虚拟资源的自动配置管理任务，及时响应终端用户的实时性任务请求，保证了云资源使用者的SLA需求。

Research of the automatic configuration technology for virtual machine resources in cloud computing

For the problems cloud resource managers faced ,such as the dynamic changes of incoming load and demand elasticity of resources. This paper proposed an automatic configuration management technology for virtual machine resources. It introduced reinforcement learning technique into the cloud virtual resource management, and modeled configuration management process of the virtual machine as a markov decision model. According to the running state of the application system and the dynamic changes of the input load ,this technology can made an automatic decision to add or remove a number of virtual machines. Experimental results show that this technology can complete the tasks of automating configuration of virtual resource management according to the changing load, respond to end user's in a timely manner, and ensure the SLA requirements of cloud users.