How to Make Profit: Exploiting Fluctuating Electricity Prices with Albatross, A Runtime System for Heterogeneous HPC Clusters

Timo Hönig, C. Eibel, Adam Wagenhäuser, Maximilian Wagner, Wolfgang Schröder-Preikschat
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引用次数: 5

Abstract

The ongoing evolution of the power grid towards a highly dynamic supply system poses challenges as renewables induce new grid characteristics. The volatility of electricity sources leads to a fluctuating electricity price, which even becomes negative when excess supply occurs. Operators of high-performance--computing (HPC) clusters therefore can consider the highly dynamic variations of electricity prices to provide an energy-efficient and economic operation. This paper presents Albatross, a runtime system for heterogeneous HPC clusters. To ensure an energy-efficient and economic processing of HPC workloads, our system exploits heterogeneity at the hardware level and considers dynamic electricity prices. We have implemented Albatross and evaluate it on a heterogeneous HPC cluster in our lab to show how the power demand of the cluster decreases when electricity prices are high (i.e., excess demand at the grid). When electricity prices are low or negative (i.e., excess supply to the grid), Albatross purposefully increases the workload and, thus, power demand of the HPC cluster---to make profit.
如何盈利:利用异构高性能计算集群运行时系统Albatross利用波动电价
随着可再生能源引发新的电网特征,电网向高度动态供应系统的持续发展带来了挑战。电力来源的波动性导致电价波动,当出现供应过剩时,电价甚至会变为负值。因此,高性能计算(HPC)集群的运营商可以考虑电价的高度动态变化,以提供节能和经济的运营。本文介绍了一种用于异构高性能计算集群的运行时系统Albatross。为了确保高效和经济地处理高性能计算工作负载,我们的系统在硬件层面利用了异构性,并考虑了动态电价。我们已经实现了Albatross,并在我们实验室的异构HPC集群上对其进行了评估,以显示当电价高时集群的电力需求是如何减少的(即电网的过剩需求)。当电价较低或为负(即电网供应过剩)时,Albatross有目的地增加工作量,从而增加高性能计算集群的电力需求——以获取利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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