全站HPC数据中心需求响应

D. Wilson, I. Paschalidis, A. Coskun
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引用次数: 0

摘要

由于许多电力市场都倾向于增加可再生能源发电,因此对电网合作平衡电力供需的需求将增加。在全球范围内,数据中心是一个巨大的电力消耗者,它们非常适合通过执行“需求响应”来充当电网负荷稳定器。在此领域的先前调查已经展示了数据中心如何通过对集群作业队列、服务器功率属性和应用程序性能之间的关系进行建模来继续满足用户的服务质量(QoS)需求。虽然服务器电源是数据中心功耗的一个主要因素,但其他组件(如冷却系统)也带来了不可估量的电力需求。这项工作建议在QoS感知的需求响应解决方案之上使用一个简单的站点范围(即,包括数据中心的所有组件)功率模型,以实现这些解决方案的QoS优势,同时提高需求响应中的成本节约机会。我们展示了与不使用站点范围功率模型的QoS感知需求响应策略相比节省1.3倍的成本,并且在允许1.5倍放松QoS约束的情况下,在严重低估站点范围功耗的情况下显示了类似的节省。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Site-Wide HPC Data Center Demand Response
As many electricity markets are trending towards greater renewable energy generation, there will be an increased need for electrical grids to cooperatively balance electricity supply and demand. Data centers are one large consumer of electricity on a global scale, and they are well-suited to act as a grid load stabilizer via performing “demand response.” Prior investigations in this space have demonstrated how data centers can continue to meet their users' quality of service (QoS) needs by modeling relationships between cluster job queues, server power properties, and application performance. While server power is a major factor in data center power consumption, other components such as cooling systems contribute a non-nealiaible amount of electricity demand. This work proposes using a simple site-wide (i.e., including all components of the data center) power model on top of QoS-aware demand response solutions to achieve the QoS benefits of those solutions while improving the cost-saving opportunities in demand response. We demonstrate 1.3x cost savings compared to QoS-aware demand response policies that do not utilize site-wide power models, and show similar savings in cases of severely under-predicted site-wide power consumption if 1.5x relaxed QoS constraints are allowed.
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