CSR: Small: Green Farms: Towards a Stable Energy Optimization Architecture for Data Centers

CSR：小型：绿色农场：迈向数据中心稳定的能源优化架构

• 批准号: 0916028
• 负责人: Tarek Abdelzaher
• 金额: $ 42万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916028&HistoricalAwards=false
• 关键词: CSR; Small; Green; Farms; Towards

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This project develops techniques for increasing energy-efficiency of modern data centers with performance constraints. Both computing and cooling energy are considered. According to the U.S. Environmental Protection Agency, data centers in the United States incur an annual energy cost of approximately $4.5 billion, which is comparable to the total consumption of 5.8 million average US households. In the absence of intervention, data center consumption is expected to double in five years. Up to 80% of this projected energy expenditure is avoidable, which constitutes a prospective reduction in nationwide carbon dioxide emissions by up to 47 million metric tons (MMT) per year; an amount comparable to the annual carbon emissions footprint of all fuel combustion in a small nation. The observation motivating the energy-efficiency solutions developed in this project is that the proliferation of individual energy-saving mechanisms in server installations can lead to increasingly suboptimal overall energy management. The problem lies in performance composability or lack thereof; a challenge that arises because individual optimizations generally do not compose well when combined, leading to opportunities for improvement. A theory is developed to define preconditions of composability and a holistic distributed approach is investigated for coordinating energy-saving decisions across multiple components that span both the computing and cooling subsystems. A graduate course on cyber-physical systems is designed to cover the addressed challenges and solutions. Women and minority students are encouraged to benefit from these opportunities.

该奖项由 2009 年美国复苏和再投资法案（公法 111-5）资助。该项目开发了提高具有性能限制的现代数据中心能源效率的技术。计算和冷却能源均被考虑。据美国环境保护署统计，美国数据中心每年的能源成本约为 45 亿美元，相当于 580 万个美国普通家庭的总消耗量。如果不采取干预措施，数据中心的能耗预计将在五年内翻一番。预计能源支出中高达 80% 是可以避免的，这意味着全国二氧化碳排放量每年可减少多达 4700 万吨 (MMT)；相当于一个小国家所有燃料燃烧的年碳排放足迹。推动该项目开发节能解决方案的观察结果是，服务器安装中单个节能机制的激增可能导致整体能源管理日益不理想。问题在于性能可组合性或缺乏性能可组合性；这是一个挑战，因为单独的优化通常不能很好地结合起来，从而带来改进的机会。开发了一种理论来定义可组合性的先决条件，并研究了一种整体分布式方法来协调跨越计算和冷却子系统的多个组件的节能决策。网络物理系统研究生课程旨在涵盖所面临的挑战和解决方案。鼓励女性和少数民族学生从这些机会中受益。