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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tomasz Ciesielczyk & Alberto Cabrera & Ariel Oleksiak & Wojciech Piątek & Grzegorz Waligóra & Francisco Almeida & Vicente Blanco, 2021. "An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping," Journal of Scheduling, Springer, vol. 24(5), pages 489-505, October.
    • Handle: RePEc:spr:jsched:v:24:y:2021:i:5:d:10.1007_s10951-020-00649-4
    DOI: 10.1007/s10951-020-00649-4
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