关键词: 云应用, 概率推理, 贝叶斯网络, 服务质量目标保障

Abstract: It focuses on the problem of resources configuration optimization for cloud applications running in cloud environment, proposes a service level objective aware cloud application resources auto-adaptive configuration technique. It presents methods to generate Bayesian network based probabilistic reasoning model by the collected historical metrics data, and uses predefined application quality of service level objectives to find virtual devices in the resource over-provisioning or under-provisioning state, hence generates optimization strategy accordingly. Emulation test environment results show that the request-response time of cloud application with the adaptive reconfiguration optimization algorithm open is better than others.

Key words: cloud application, probabilistic inference, Bayesian network, Service Level Objectives（SLO） assurance