II-New: Towards Green Data Centers: A Testbed for Thermo-Computational Dynamics

II-新：迈向绿色数据中心：热计算动力学测试平台

• 批准号: 0958314
• 负责人: Tarek Abdelzaher
• 金额: $ 29.39万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958314&HistoricalAwards=false
• 关键词: II; New; Towards; Green; Data

This project develops a testbed for experimentation with energy saving in data centers via holistic management of both the computing and cooling subsystems. It instruments a large computing cluster at the University of Illinois that reproduces representative dynamics of energy consumption in data centers. Understanding heat and energy dynamics in large computing systems requires detailed sensing and control on both the computing and cooling side. The goal is to produce models and algorithms that significantly contribute to energy optimization research leading to reductions in carbon footprint and operating costs of contemporary computing clusters. The testbed developed in this project focuses primarily on understanding and improving software-controlled mechanisms for energy optimization in systems that exhibit non-trivial coupled thermal and computational dynamics, called thermo-computational systems, towards better energy management of data centers. When complete, it is likely to become the first and largest open testbed geared for enabling high quality research on large thermo-computational systems. The project is motivated by the increasing energy cost of data centers, which is estimated at more than $4.5 billion annually and is expected to grow at a rate of 12% in the absence of intervention. According to the EPA, most of this cost is avoidable. If successful, the project will therefore contribute significantly to both the economy and the environment by resulting in savings in both energy cost and carbon footprint.

该项目开发了一个测试平台，通过计算和冷却子系统的整体管理来试验数据中心的节能。它对伊利诺伊大学的一个大型计算集群进行了检测，再现了数据中心能源消耗的代表性动态。了解大型计算系统中的热量和能量动态需要在计算和冷却方面进行详细的传感和控制。目标是产生对能源优化研究做出重大贡献的模型和算法，从而减少当代计算集群的碳足迹和运营成本。该项目开发的测试床主要侧重于理解和改进软件控制的能源优化机制，这些系统表现出非平凡的耦合热和计算动力学，称为热计算系统，以实现更好的数据中心能源管理。完成后，它很可能成为第一个也是最大的开放测试平台，旨在实现大型热计算系统的高质量研究。该项目的动机是数据中心能源成本不断增加，该成本每年估计超过 45 亿美元，并且在没有干预的情况下预计将以 12% 的速度增长。根据美国环保局的说法，大部分成本是可以避免的。如果成功，该项目将通过节省能源成本和碳足迹，为经济和环境做出重大贡献。