research-article

Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption

Authors:

Wojciech Piatek,

Ariel Oleksiak,

Micha vor dem BergeAuthors Info & Claims

e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

Pages 253 - 258

https://doi.org/10.1145/2768510.2768525

Published: 14 July 2015 Publication History

Abstract

In this paper we study the power usage and thermal management of micro servers to analyze their impact on the overall data center energy consumption. We propose thermal models of micro servers based on analytical approach tuned with parameters derived from empirical tests. We demonstrate how fan management configuration affects the energy consumption of servers and the whole data center. We also apply the proposed model to predict temperature changes in a short time ahead and take advantage of these predictions to improve fan management. We show why PUE is not sufficient or can be even misleading in minimizing data center energy consumption. To mitigate this issue, we propose metrics that can be used to reflect correctly fans management impact on the overall energy consumption.

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Cited By

Kovalenko BLukin V(2023)BPG-based compression of Poisson noisy images2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT)10.1109/DESSERT61349.2023.10416544(1-7)Online publication date: 13-Oct-2023
https://doi.org/10.1109/DESSERT61349.2023.10416544
Cao ZZhou XHu HWang ZWen Y(2022)Toward a Systematic Survey for Carbon Neutral Data CentersIEEE Communications Surveys & Tutorials10.1109/COMST.2022.316127524:2(895-936)Online publication date: Oct-2023
https://doi.org/10.1109/COMST.2022.3161275
Antal MCioara TAnghel IGorzenski RJanuszewski ROleksiak APiatek WPop CSalomie ISzeliga W(2019)Reuse of Data Center Waste Heat in Nearby Neighborhoods: A Neural Networks-Based Prediction ModelEnergies10.3390/en1205081412:5(814)Online publication date: 1-Mar-2019
https://doi.org/10.3390/en12050814
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Index Terms

Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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Published In

cover image ACM Conferences

e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

July 2015

334 pages

ISBN:9781450336093

DOI:10.1145/2768510

General Chairs:
Shivkumar Kalyanaraman
IBM Research, India
,
Deva P. Seetharam
DataGlen Technologies, India
,
Rajeev Shorey
TCS Innovation Labs, USA/India
,
Program Chairs:
Sarvapali Ramchurn
University of Southampton, UK
,
Mani Srivastava
UCLA, USA

Copyright © 2015 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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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 July 2015

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Research-article

Funding Sources

Polish National Science Center
FiPS - Developing Hardware and Design Methodologies for Heterogeneous Low Power Field Programmable Servers

Conference

e-Energy'15

Sponsor:

SIGCOMM

e-Energy'15: The Sixth International Conference on Future Energy Systems

July 14 - 17, 2015

Bangalore, India

Acceptance Rates

e-Energy '15 Paper Acceptance Rate 20 of 85 submissions, 24%;

Overall Acceptance Rate 160 of 446 submissions, 36%

Upcoming Conference

E-Energy '25

Sponsor:
sigenergy

The 16th ACM International Conference on Future and Sustainable Energy Systems

June 17 - 20, 2025

Rotterdam , Netherlands

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Citations

Cited By

Kovalenko BLukin V(2023)BPG-based compression of Poisson noisy images2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT)10.1109/DESSERT61349.2023.10416544(1-7)Online publication date: 13-Oct-2023
https://doi.org/10.1109/DESSERT61349.2023.10416544
Cao ZZhou XHu HWang ZWen Y(2022)Toward a Systematic Survey for Carbon Neutral Data CentersIEEE Communications Surveys & Tutorials10.1109/COMST.2022.316127524:2(895-936)Online publication date: Oct-2023
https://doi.org/10.1109/COMST.2022.3161275
Antal MCioara TAnghel IGorzenski RJanuszewski ROleksiak APiatek WPop CSalomie ISzeliga W(2019)Reuse of Data Center Waste Heat in Nearby Neighborhoods: A Neural Networks-Based Prediction ModelEnergies10.3390/en1205081412:5(814)Online publication date: 1-Mar-2019
https://doi.org/10.3390/en12050814
Zhao PYang LKang ZLin J(2019)On Predicting the PUE with Gated Recurrent Unit in Data Centers2019 IEEE 5th International Conference on Computer and Communications (ICCC)10.1109/ICCC47050.2019.9064040(1664-1670)Online publication date: Dec-2019
https://doi.org/10.1109/ICCC47050.2019.9064040
Oleksiak ACiesielczyk TKierzynka MPiatek W(2018)Minimising energy costs of data centers using high dense heterogeneous systems and intelligent resource managementProceedings of the Ninth International Conference on Future Energy Systems10.1145/3208903.3213777(499-505)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3208903.3213777
Wan JGui XKasahara SZhang YZhang R(2018)Air Flow Measurement and Management for Improving Cooling and Energy Efficiency in Raised-Floor Data Centers: A SurveyIEEE Access10.1109/ACCESS.2018.28668406(48867-48901)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2866840
Piatek WOleksiak Avor dem Berge MHagemeyer JSenechal E(2017)Intelligent thermal management in M2DC systemProceedings of the Eighth International Conference on Future Energy Systems10.1145/3077839.3084029(309-315)Online publication date: 16-May-2017
https://dl.acm.org/doi/10.1145/3077839.3084029

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