An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping

Tomasz Ciesielczyk (), Alberto Cabrera (), Ariel Oleksiak (), Wojciech Piątek (), Grzegorz Waligóra (), Francisco Almeida () and Vicente Blanco ()
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Tomasz Ciesielczyk: Poznan Supercomputing and Networking Center, Institute of Bioorganic Chemistry PAS
Alberto Cabrera: Universidad de La Laguna
Ariel Oleksiak: Poznan Supercomputing and Networking Center, Institute of Bioorganic Chemistry PAS
Wojciech Piątek: Poznan Supercomputing and Networking Center, Institute of Bioorganic Chemistry PAS
Grzegorz Waligóra: Poznan University of Technology
Francisco Almeida: Universidad de La Laguna
Vicente Blanco: Universidad de La Laguna

Journal of Scheduling, 2021, vol. 24, issue 5, No 5, 489-505

Abstract: Abstract 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.

Keywords: Power capping; Energy-aware computing; Energy efficiency (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10951-020-00649-4

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