Temperature-aware dynamic resource provisioning in a power-optimized datacenter
Temperature-aware dynamic resource provisioning in a power-optimized datacenter
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DOI：
10.5555/1870926.1870959
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发表时间：
2010-03
期刊：
影响因子：
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通讯作者：
E. Pakbaznia;M. Ghasemazar;Massoud Pedram
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文献类型：
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作者：
E. Pakbaznia;M. Ghasemazar;Massoud Pedram
目前能源和环境成本的趋势是不可持续的。开发能够提高发电厂能效的发电厂范围的电源和热管理（PTM）解决方案至关重要。本文描述了一种这样的方法，其中PTM引擎决定ON服务器的数量和位置，同时调整所提供的冷空气温度。目标是最大限度地减少总功耗（服务器和空调设备），同时满足数据中心中任何服务器机箱的最高温度上限。为了实现这一目标，重要的是能够预测每秒请求数的传入工作负载（这是通过使用短期工作负载预测技术来完成的），并具有有效的运行时策略，以便在工作负载高时使新服务器在线，或在工作负载低时关闭它们。因此，通过机箱整合和高效冷却相结合，实现了数据中心范围内的节能。实验结果证明了该方法的有效性。1
The current energy and environmental cost trends of datacenters are unsustainable. It is critically important to develop datacenter-wide power and thermal management (PTM) solutions that improve the energy efficiency of the datacenters. This paper describes one such approach where a PTM engine decides on the number and placement of ON servers while simultaneously adjusting the supplied cold air temperature. The goal is to minimize the total power consumption (for both servers and air conditioning units) while meeting an upper bound on the maximum temperature seen in any server chassis in the data center. To achieve this goal, it is important to be able to predict the incoming workload in terms of requests per second (which is done by using a short-term workload forecasting technique) and to have efficient runtime policies for bringing new servers online when the workload is high or shutting them off when the workload is low. Datacenter-wide power saving is thus achieved by a combination of chassis consolidation and efficient cooling. Experimental results demonstrate the effectiveness of the proposed dynamic resource provisioning method. 1