随着云计算的飞速发展，数据中心的规模不断扩大，对环境所产生的污染和影响也日益严峻，将可再生能源作为数据中心的能量供给成为一种新的趋势，然而可再生能源产生的间歇性及不确定性为其使用带来了一定困难。本项目以应用可再生能源的数据中心为研究对象，对其中的资源和能耗管理模型与算法进行研究，使其成为一种能够有效利用可再生能源的可控负载。重点研究内容包括：研究数据中心的能源供给量与资源可用量的映射模型，对关键设备的能耗进行量化，从而指导负载调度策略的设计和实现；研究匹配可再生能源变化特性的混合负载协同调度机制，充分挖掘不同类型应用负载中存在的弹性和松弛性；基于数据中心中虚拟化资源的管理设计对位置和温度能够感知的资源分配策略和能耗控制方法，研究基于监测与预测相结合的可再生能源利用和存储策略。本课题的实施将对可再生能源的推广和使用提供理论和实践基础，对未来的环境保护和可持续发展也具有重要意义。

With the rapidly development of cloud computing, the scale of data centers grows larger and larger, and then the impact on environment pollution becomes more crucial. Consequently, a new trend is to use the renewable energy to supply power for data centers. However, the uncertainty and intermittency of the production of renewable energy lead to challenges for its usage. Here, we propose to use the data center as a controllable load for renewable energy utilization, and attempt to study the coordinated power management models and algorithms inside the data center. The main research contents include: to study the mapping model of power generation variation and the available resource amount and quantify the power consumption of core devices, which could help instruct the design and implementation of workload scheduling strategies; to study the coordinated scheduling mechanism of mixed load according to the variation of renewable energy supply, which could sufficient mine and utilize the elasticity and slackness of different kinds of application classes; to design placement-aware and temperature-aware resource controlling approaches and power management methodologies, and to study the utilization and storage strategies for excessive renewable energy based on the combination of monitoring and forecast techniques, which help to utilize the renewable energy more sufficiently. This research can provide theoretical and practical basis for spreading the usage of renewable energy, which is very important for the prospective environment protection and sustainable development of the whole society.