关键词: 云计算, 虚拟机, 动态伸缩, Q-Learning, 资源利用率

Abstract:

To solve the problem of service quality and resources cost when the service volume changed in large cloud environment,this paper proposes a scaling method for virtual machines based on the Q-Learning algorithm.First,the problem is modeled as a Markov decision process.In order to achieve a better balance between platform service quality and resources consuming,the agent outputs the best decision according to the current state of the platform.The platform executes the decision and transfers to the corresponding state.The simulation results show that the method can make scaling decisions in real time according to the change of service volume so as to provide appropriate resources of virtual machines matching the requirements of service.The method also can enhance the stability of the platform.

Key words: cloud computing;virtual machine;auto-scaling;Q-Learning;resource utilization