research-article

Utility-function-driven energy-efficient cooling in data centers

Authors:

Jeffrey O. Kephart,

Jonathan Lenchner,

Hendrik HamannAuthors Info & Claims

ICAC '10: Proceedings of the 7th international conference on Autonomic computing

Pages 61 - 70

https://doi.org/10.1145/1809049.1809058

Published: 07 June 2010 Publication History

Abstract

The sharp rise in energy usage in data centers, fueled by increased IT workload and high server density, and coupled with a concomitant increase in the cost and volatility of the energy supply, have triggered urgent calls to improve data center energy efficiency. In response, researchers have developed energy-aware IT systems that slow or shut down servers without sacrificing performance objectives. Several authors have shown that utility functions are a natural and advantageous framework for self-management of servers to joint power and performance objectives. We demonstrate that utility functions are a similarly powerful framework for flexibly managing entire data centers to joint power and temperature objectives. After showing how utility functions can capture a wide range of objectives and tradeoffs that an operator might wish to specify, we illustrate the resulting range in behavior and energy savings using experimental results from a real data center that is cooled by two computer room air-conditioning (CRAC) units equipped with variable-speed fan drives.

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Cited By

Wan JDuan YGui XLiu CLi LMa Z(2023)SafeCool: Safe and Energy-Efficient Cooling Management in Data Centers With Model-Based Reinforcement LearningIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2023.32345457:6(1621-1635)Online publication date: Dec-2023
https://doi.org/10.1109/TETCI.2023.3234545
Goudarzi PHosseinpour MGoudarzi RLloret J(2022)Holistic Utility Satisfaction in Cloud Data Centre Network Using Reinforcement LearningFuture Internet10.3390/fi1412036814:12(368)Online publication date: 8-Dec-2022
https://doi.org/10.3390/fi14120368
Sun JWang SWang JTolbert L(2022)Dynamic Model and Converter-Based Emulator of a Data Center Power Distribution SystemIEEE Transactions on Power Electronics10.1109/TPEL.2022.314635437:7(8420-8432)Online publication date: Jul-2022
https://doi.org/10.1109/TPEL.2022.3146354
Show More Cited By

Index Terms

Utility-function-driven energy-efficient cooling in data centers
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. System management
        Centralization / decentralization
        Quality assurance
        Technology audits

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Published In

cover image ACM Conferences

ICAC '10: Proceedings of the 7th international conference on Autonomic computing

June 2010

246 pages

ISBN:9781450300742

DOI:10.1145/1809049

General Chair:
Manish Parashar
Rutgers University, USA
,
Program Chairs:
Renato Figueiredo
University of Florida, USA
,
Emre Kıcıman
Microsoft Research, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Arizona: University of Arizona

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New York, NY, United States

Publication History

Published: 07 June 2010

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ICAC '10: 7th International Conference on Autonomic Computing

June 7 - 11, 2010

DC, Washington, USA

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Cited By

Wan JDuan YGui XLiu CLi LMa Z(2023)SafeCool: Safe and Energy-Efficient Cooling Management in Data Centers With Model-Based Reinforcement LearningIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2023.32345457:6(1621-1635)Online publication date: Dec-2023
https://doi.org/10.1109/TETCI.2023.3234545
Goudarzi PHosseinpour MGoudarzi RLloret J(2022)Holistic Utility Satisfaction in Cloud Data Centre Network Using Reinforcement LearningFuture Internet10.3390/fi1412036814:12(368)Online publication date: 8-Dec-2022
https://doi.org/10.3390/fi14120368
Sun JWang SWang JTolbert L(2022)Dynamic Model and Converter-Based Emulator of a Data Center Power Distribution SystemIEEE Transactions on Power Electronics10.1109/TPEL.2022.314635437:7(8420-8432)Online publication date: Jul-2022
https://doi.org/10.1109/TPEL.2022.3146354
Conficoni CBartolini ATilli ACavazzoni CBenini L(2021)HPC Cooling: A Flexible Modeling Tool for Effective Design and ManagementIEEE Transactions on Sustainable Computing10.1109/TSUSC.2018.28095746:3(441-455)Online publication date: 1-Jul-2021
https://doi.org/10.1109/TSUSC.2018.2809574
Sun JWang SWang JTolbert L(2021)Development of a Converter-Based Data Center Power Emulator2021 IEEE Applied Power Electronics Conference and Exposition (APEC)10.1109/APEC42165.2021.9487043(126-133)Online publication date: 14-Jun-2021
https://doi.org/10.1109/APEC42165.2021.9487043
Ahmed KBollen MAlvarez M(2021)A Review of Data Centers Energy Consumption and Reliability ModelingIEEE Access10.1109/ACCESS.2021.31250929(152536-152563)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3125092
Zhang QMeng ZHong XZhan YLiu JDong JBai TNiu JDeen M(2021)A survey on data center cooling systemsJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2021.102253119:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.sysarc.2021.102253
Polonelli TBrunelli DBartolini ABenini L(2019)A LoRaWAN Wireless Sensor Network for Data Center Temperature MonitoringApplications in Electronics Pervading Industry, Environment and Society10.1007/978-3-030-11973-7_20(169-177)Online publication date: 11-May-2019
https://doi.org/10.1007/978-3-030-11973-7_20
Stamatescu IPloix SFagarasan IStamatescu G(2018)Data Center Server Energy Consumption Optimization Algorithm2018 26th Mediterranean Conference on Control and Automation (MED)10.1109/MED.2018.8442890(813-818)Online publication date: Jun-2018
https://doi.org/10.1109/MED.2018.8442890
Mosa APaton N(2016)Optimizing virtual machine placement for energy and SLA in clouds using utility functionsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-016-0067-75:1(1-17)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1186/s13677-016-0067-7
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