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Joint data center cooling and workload management: A thermal-aware approach

机译:联合数据中心散热和工作负载管理:一种热感知方法

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摘要

Information technology (IT) equipment and cooling infrastructure are key contributors to the total energy expenditure in a data center. There is typically significant power wastage due to inefficient cooling control and thermal-oblivious management of workload. Recent thermal-aware data center management techniques have not taken a unified approach in controlling IT and cooling systems. In this paper, we find that considering thermal effects of server workloads, in conjunction with control parameters of the cooling unit saves more power than optimizing each of them separately. We leverage a low complexity holistic data center model that considers thermal interactions between IT and cooling unit entities. This thermal model provides control decisions with fine-grained control variables. We propose joint cooling and workload management QCWM), which has the potential to save a considerable amount of power by exploring synergies between the workload scheduler and operational parameters of the cooling unit. In addition, we provide a significant caveat for the power efficiency of server consolidation methods when taking into account associated thermal effects.
机译:信息技术(IT)设备和冷却基础设施是数据中心总能源消耗的关键因素。由于效率低下的冷却控制和对工作量的热疏忽管理,通常会浪费大量功率。最近的热感知数据中心管理技术尚未采用统一的方法来控制IT和冷却系统。在本文中,我们发现,考虑到服务器工作负载的热效应,再加上冷却单元的控制参数,与单独优化每个参数相比,可以节省更多的电能。我们利用了一种低复杂度的整体数据中心模型,该模型考虑了IT与冷却单元实体之间的热相互作用。该热模型为控制决策提供了细粒度的控制变量。我们提出了联合制冷和工作负荷管理QCWM),通过探索工作负荷调度程序和冷却单元的运行参数之间的协同作用,有可能节省大量电力。此外,考虑到相关的热效应,我们对服务器整合方法的电源效率提出了重要的警告。

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