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

提案#：10-40666PI(S)：Ghose，Kanad；Gopala，Kardik；Murray，Brice T；Sammakia，巴赫加特G；机构：SUNY-Binghamton标题：MRI/Dev.：完全仪器化的自我感知和自我调节数据中心项目建议：该项目为下一代数据中心构建仪器，其中能源消耗和管理被视为一流资源(与CPU、通信等一起)，需要明确地进行调度和管理，以最大限度地提高数据中心的整体能源效率，采用新的控制范式来预测局部和全球的热状况。研究如何最节能地利用冷却资源，建议的仪器具体涉及：-实验性的，缩小数据中心的Linux服务器的动态冷却设施，修改内核。-用于提供标称冷却和远程控制计算机房空调(CRAC)的冷风冷却系统，用于提供快速可调和定向冷却设施；-设施的软件组件，允许研究开发各种技术，包括传统和创新技术，以提高数据中心的能效；以及-生成和记录关于工作负载水平、功耗、温度和气流分布的实时数据。更广泛的影响：这一独特的设施主要提供数据中心能效解决方案。该项目集中了少数民族、女性和本科生参与他们的研究。该工具有助于帮助所有学生为在数据中心的技术、管理和使用方面获得有价值的职业做好准备。

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.