Intelligent thermal management in M2DC system
Intelligent thermal management in M2DC system
复制标题
M2DC系统中的智能热管理
DOI：
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复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
Emmanuel Senechal
中科院分区：
文献类型：
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作者：
Wojciech Piątek;Ariel Oleksiak;M. Berge;J. Hagemeyer;Emmanuel Senechal
热管理和冷却是对数据中心能源效率具有重大影响的重要组成部分，冷却成本可能超过整个数据中心能耗的50%。由于防止产生所谓的热点，数据中心的优化热管理也会影响数据中心的可靠性和可用性。在本文中，我们提出了一种用于服务器平台热管理的模型和优化方法，该平台是在 M2DC 项目中开发的，配备了大量异构硬件。我们还展示了单个服务器和机箱的管理如何影响整个数据中心的效率。首先，我们介绍这如何影响常用的 PUE 指标，以及这种方法如何在数据中心有效性评估中产生误导。其次，我们展示了智能风扇管理如何影响用于冷却的能源、IT 系统能耗的变化以及整体增益。
Thermal management and cooling are essential parts that have significant influence on the energy efficiency of data centers as cost of cooling can exceed 50% of the whole energy data center energy consumption. Optimized thermal management of data center also affects reliability and availability of a data center due to prevention of creation of the so called hot spots. In this paper, we present a model and optimisation method for thermal management a server platform, developed within M2DC project, equipped with a high number of heterogeneous hardware. We also show how the management of the individual servers and chassis influences efficiency of the whole data center. First, we present how this affects the commonly used PUE metric and how this approach can be misleading in evaluation of the data center effectiveness. Secondly, we show how intelligent fan management may influence energy used for cooling, change of IT systems energy consumption and the overall gain.