Nowadays, cloud data centers began to support more and more popular online services such as web search, ecommerce, social networking, video on demand and software as a service (SaaS), so the massive scale of data centers brings the challenges of energy efficiency. Therefore, the concept of an energy-efficient Green data center has been proposed. To build an energy-efficient cloud data center, cloud data center resource dynamic provisioning and consolidation technology is involved. In this paper, we fi rst provide a survey of current indus try and academic efforts on cloud data center energy-efficient management technology, focusing on the cloud data center resource dynamic provisioning technology and resource consolidation technology. We first focus on an analysis and comparison of cloud resource predictive dynamic provisioning technology. We analyze and discuss the mai n resource prediction methods and models, including basic models, feedback based models and multi ple time series models. We describe the relationship between these categories as well as the characteristics of the models. After that, we analyze and compare Cloud resource reactive dynamic provisioning technology. And then we analyze cloud resource consolidation technology. Furthermore, we also give a prospect on cloud resource management technology standardization trends. Lastly, we analyze the prospective research direction.