GOALI: Models, Metrics and Control Strategies for Energy Efficient Data Centers

项目名称：GOALI：节能数据中心的模型、建模和控制策略PI：Bruno Sinopoli和布鲁斯H。Krogh目标：该项目旨在通过引入冷却系统和信息技术的协调控制来显著提高数据中心的能源效率。 这需要新的集成的、面向控制的数据中心动态模型，该模型将计算系统和冷却系统之间的热交互表示为每个系统的控制输入的函数。 还将开发新的指标，以有效地捕捉控制决策对计算性能的影响，在服务水平协议（SLA）的背景下，以及在实践中出现的其他目标和约束。 将开发多层次的分布式控制策略，以应对数据中心动态特性的广泛时间尺度和空间分布。智力优势：这项变革性研究将导致第一个数据中心控制策略，明确协调冷却系统动作与工作负载和电源状态分配，以实现计算性能和能耗之间的有效权衡。 这些策略还将通过放宽SLA所允许的性能要求来利用新的自由度。控制层次结构是基于抽象的，反映了许多大规模的信息物理系统中常见的空间和时间尺度的范围。 更广泛的影响：GOALI项目中的学术界和行业合作确保了其结果将在未来的数据中心中实施。 这将导致满足美国未来几年计算和存储需求所需的能源大幅减少。 通过课程和实习，工程专业的学生将被引入网络物理系统研究的新兴概念。

Project Title: GOALI: Models, Metrics, and Control Strategies for Energy Efficient Data CentersPIs: Bruno Sinopoli and Bruce H. KroghObjective: This project aims to improve the energy efficiency of data centers significantly by introducing coordinated control of the cooling systems and the information technology. This requires new integrated, control-oriented models of data center dynamics representing thermal interactions between the computational system and the cooling system as a function of the control inputs to each system. New metrics will also be developed to capture effectively the impact of control decisions on computational performance in the context of service level agreements (SLAs) and other objectives and constraints that arise in practice. Multi-level, distributed control strategies will be developed to deal with the wide range of time-scales and spatial distributions that characterize data center dynamics.Intellectual Merit: This transformative research will lead to the first data center control strategies that explicitly coordinate cooling system actions with workload and power state allocations to achieve effective tradeoffs between computational performance and energy consumption. These strategies will also leverage new degrees of freedom by relaxing performance requirements as allowed by SLAs. The control hierarchy is based on abstractions that reflect the range of spatial and temporal scales common in many large-scale cyber-physical systems. Broader Impact: The academic-industry collaboration in this GOALI project assures the results will be implementable in future data centers. This will lead to significant reductions in the energy required to meet the demands for computation and storage in the U.S. for years to come. Through courses and internships, engineering students will be introduced emerging concepts in cyber-physical systems research.