II-NEW: GreenIT: Testbeds for Real-time Data Center and Platform Energy and Thermal Management

绿色IT：实时数据中心和平台能源和热管理试验台-CRI提案0958514预计到2011年，美国数据中心和服务器的预计电力需求将增长到约1000亿千瓦时，即使是EPA预测的预期能效改善也不足以限制IT能源需求的稳定增长。为了控制这种增长，“绿色IT”交叉和跨学科项目寻求跨越多个学科(机械、土木工程、电气和计算机科学)和多种技术(芯片/封装、操作系统/软件、冷却技术和热/流体建模，多种长度和时间尺度)的解决方案。该项目方法是基于测量的，为高能效的IT建立了一个“绿色IT”试验台。试验台将在“数据中心规模”运行，因为它与佐治亚理工学院正在进行的努力相结合，为我们提供了(1)大规模的商品IT基础设施，即机器机架和(2)用于云计算多站点协作的新设施。商用设备和仪器被安置在佐治亚理工学院机械工程的CEETHERM实验室，该实验室提供动态可控的空气冷却能力。这允许对冷却和IT功耗进行联合控制。更多的研究人员可访问的测量站瞄准新设施和下一代多核平台。这项研究的一个共同主线是使用和促进协调管理，即在能源堆栈的不同级别采取的管理行动以协调的方式执行。结果是实现了全面的数据中心管理，从而提高了能效。

GreenIT: Testbeds for Real-time Data Center and Platform Energy and Thermal Management - CRI Proposal 0958514The projected power demand for data centers and servers in the US is expected to grow to about 100B kWh by 2011, and even expected efficiency improvements projected by the EPA are insufficient to cap steady growth in IT energy demand. In order to reign in this growth, the 'GreenIT' cross-cutting and cross-disciplinary project seeks solutions that span multiple disciplines (mechanical, civil, electrical, and computer science) and multiple technologies (chips/packaging, operating systems/software, cooling technologies and thermal/fluid modeling, at multiple length and time scales). The project approach is measurement-based, establishing a 'GreenIT' testbed for energy efficient IT. The testbed will operate at `data center scale', because it is coupled with ongoing efforts at Georgia Tech that are providing us both with (1) a large-scale, commodity IT infrastructure, i.e., racks of machines and (2) new facilities used for a multi-site collaboration in cloud computing. Commodity equipment and instrumentation are housed in the CEETHERM lab, in Mechanical Engineering at Georgia Tech, which offers dynamically controllable air cooling capabilities. This permits joint control of cooling and IT power consumption. Additional researcher-accessible measurement stations target new facilities and next generation multicore platforms.A common thread in this research is its use and promotion of coordinated management 'across the energy stack', where management actions taken at different levels of the energy stack are performed in a coordinated manner. The outcome is holistic data center management for improved power efficiency.