II-EN: Collaborative Research: Enhancing the Parasol Experimental Testbed for Sustainable Computing

II-EN：协作研究：增强可持续计算的 Parasol 实验测试台

• 批准号: 1730129
• 负责人: Christopher Stewart
• 金额: $ 1.38万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730129&HistoricalAwards=false
• 关键词: II; EN; Collaborative; Research; Enhancing; II; EN; Collaborative; Research; Enhancing

This project will enhance an experimental datacenter for sustainable computing. Datacenters consume vast amounts of energy, totaling about 1.8% of the US electricity usage in 2014. Thus, the energy efficiency, energy-related costs, and overall sustainability of datacenters are of critical concerns. NSF funded experimental green datacenter called Parasol has previously demonstrated that the combination of green design and intelligent software management systems can lead to significant reductions in energy consumption, carbon emission, and cost. The enhanced version of this project will update energy sources, network technologies and management software.Running real experiments in live conditions using Parasol led to findings that were not possible in simulation. This proposal seeks to update and enhance Parasol with current and next generation power-efficient servers, improve network connectivity and integrate software-defined networking (SDN) and Wi-Fi capabilities, increase solar energy generation capacity, add a low emission fuel cell power source, diversify energy storage, and improve the cooling system to advance green computing. The PIs will need to update and enhance Parasol's current software stack for monitoring, programmatic control, and remote access for the new hardware enhancements. Specific research goals are resource management in green datacenters, that includes coordinated workload, cooling, and energy scheduling against environmental and load variability to maximize the benefits of green datacenters and to help improve grid power management leveraging accelerators such as GPUs and deep learning hardware, which promise excellent performance/watt ratios.

该项目将增强用于可持续计算的实验数据中心。数据中心消耗了大量的能源，2014年总计约1.8％的美国用电。因此，能源效率，与能源相关的成本以及数据中心的总体可持续性引起了关键问题。 NSF资助的实验性绿色数据中心称为Parasol先前已经证明，绿色设计和智能软件管理系统的组合可以显着减少能源消耗，碳排放和成本。该项目的增强版本将更新能源，网络技术和管理软件。在实时条件下使用阳伞实现真实实验，导致了模拟中无法实现的发现。该提案旨在通过当前和下一代的发电服务器更新和增强阳台，改善网络连接，集成软件定义的网络（SDN）和Wi-Fi功能，提高太阳能发电能力，增加低排放燃料电池电源，多样化的能源存储，并改善冷却系统以推动绿色计算系统。 PI将需要更新和增强Parasol的当前软件堆栈，以监视，编程控制和新硬件增强功能的远程访问。具体的研究目标是绿色数据中心的资源管理，其中包括与环境和负载可变性的协调工作，冷却和能源计划，以最大程度地利用绿色数据中心的好处，并帮助提高网格电源管理利用利用加速器（例如GPU和深度学习硬件），这有望获得出色的性能/WATT率。