MRI: Development of a Fully Instrumented Self-Sensing and Self-Regulating Data Center

提案号：10- 406666 pi (s): Ghose, Kanad；吉,Kardik;布莱斯·默里；Sammakia, Bahgat G；机构：纽约州立大学宾厄姆顿分校职称：核磁共振/开发项目建议：该项目为下一代数据中心构建一个仪器，其中能源消耗和管理被视为一级资源（连同CPU，通信等），需要明确安排和管理，以最大限度地提高数据中心的整体能源效率，采用新的方法来预测局部和全球热条件，采用新的控制范式。研究最节能的冷却资源的使用，提出的仪器具体涉及：-实验，缩小数据中心的Linux服务器与动态冷却设施，修改内核。和调度组件；-大量的温度和气流传感器和功率表，以及软件仪表；-以地板整流板为基础的冷冻空气冷却系统，用于提供标称冷却和远程控制计算机机房空调（crac），提供快速调节和定向冷却设施；-该设施的软件组件，允许研究开发各种传统和创新技术，以提高数据中心的能源效率；生成和记录工作负载水平、功耗、温度和气流分布的实时数据。更广泛的影响：这个独特的设施主要为数据中心的能源效率提供解决方案。该项目主要涉及少数民族、妇女和本科生的研究。该工具有助于为所有学生在数据中心的技术、管理和使用方面的有益职业做好准备。

Proposal #: 10-40666PI(s): Ghose, Kanad; Gopala, Kardik; Murray, Brice T; Sammakia, Bahgat G; Institution: SUNY - Binghamton Title: MRI/Dev.: Fully Instrumented Self-Sensing and Self-Regulating Data CenterProject Proposed:The project, building an instrument for next generation data centers where energy consumption and management is treated as a first class resource (together with CPU, communications, etc) that needs to be scheduled and managed explicitly to maximize the overall energy-efficiency of the data center, takes a new approach for predicting local and global thermal conditions with new control paradigms. Studying the most energy-efficient use of the cooling resources, the proposed instrument specifically involves:- Experimental, scaled down data center of Linux servers with dynamic cooling facilities, modified kernels. and scheduling components; - Large number of temperature and airflow sensors and power meters, along with software instrumentation; - Floor plenum based chilled air cooling system used to provide nominal cooling and remotely controlled computer room air conditioners (CRACs) that provide a quickly adjustable and directed cooling facility;- Software components for the facility that permit research into the development of a wide variety of techniques, both traditional and innovative, for improving the data center energy efficiency; and - Generation and recording live data on workload levels, power consumption, temperature, and airflow distributions. Broader Impacts: This unique facility primarily provides solutions for energy efficiency in data centers. The project intensively involves minority, women, and undergraduate students in their research. The instrument contributes to prepare all students for rewarding careers in the technology, management, and use of data centers.