Rapid growth of demand for remote computational power, along with high energy costs and infrastructure limits, has led to treating power usage as a primary constraint in data centers. Especially, recent challenges related to development of exascale systems or autonomous edge systems require tools that will limit power usage and energy consumption. This paper presents a power capping method that allows operators to quickly adjust the power usage to external conditions and, at the same time, to reduce energy consumption and negative impact on performance of applications. We propose an optimization model and both heuristic and exact methods to solve this problem. We present an evaluation of power capping approaches supported by results of application benchmarks and experiments performed on new heterogeneous servers.

中文翻译：

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一种使用功率上限降低异构服务器能耗和性能损失的方法

对远程计算能力需求的快速增长，以及高昂的能源成本和基础设施限制，导致将电力使用视为数据中心的主要限制因素。特别是，最近与百亿亿级系统或自主边缘系统开发相关的挑战需要能够限制电力使用和能源消耗的工具。本文提出了一种功率封顶方法，允许运营商根据外部条件快速调整用电量，同时减少能耗和对应用程序性能的负面影响。我们提出了一个优化模型以及启发式和精确方法来解决这个问题。我们提出了对新异构服务器上执行的应用程序基准测试和实验结果支持的功率封顶方法的评估。