research-article

Peak power modeling for data center servers with switched-mode power supplies

Authors:

Thomas F. WenischAuthors Info & Claims

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

Pages 319 - 324

https://doi.org/10.1145/1840845.1840911

Published: 18 August 2010 Publication History

Abstract

Accurately modeling server power consumption is critical in designing data center power provisioning infrastructure. However, to date, most research proposals have used average CPU utilization to infer the power consumption of clusters, typically averaging over tens of minutes per observation. We demonstrate that average CPU utilization is not sufficient to predict peak power consumption accurately. By characterizing the relationship between server utilization and power supply behavior, we can more accurately model the actual peak power consumption. Finally, we introduce a new operating system metric that can capture the needed information to design for peak power with low overhead.

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Cited By

Bouaouda AAfdel KAbounacer R(2023)Meta-heuristic and Heuristic Algorithms for Forecasting Workload Placement and Energy Consumption in Cloud Data CentersAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0801018:1(1-11)Online publication date: Jan-2023
https://doi.org/10.25046/aj080101
Kaulage AShaha SNaik TNikumbh KJagtap V(2023)AI Approach for Minimizing The Energy Consumption of Servers Using Deep-Q-Learning2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126481(1-5)Online publication date: 7-Apr-2023
https://doi.org/10.1109/I2CT57861.2023.10126481
Hou XLi CYang JZheng WLiang XGuo M(2022)Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data CentersIEEE Transactions on Cloud Computing10.1109/TCC.2020.300145410:3(1875-1887)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TCC.2020.3001454
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Index Terms

Peak power modeling for data center servers with switched-mode power supplies
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Client-server architectures
2. Information systems
  1. Data management systems
    1. Middleware for databases
      1. Application servers
      2. Database web servers

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Published In

cover image ACM Conferences

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

August 2010

458 pages

ISBN:9781450301466

DOI:10.1145/1840845

General Chairs:
Vojin Oklobdzija
University of Texas, Dallas
,
Barry Pangle
Mentor Graphics
,
Naehyuck Chang
Seoul National University
,
Program Chairs:
Naresh Shanbhag
University of Illinois at Urbana-Champaign
,
Chris H. Kim
University of Minnesota

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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New York, NY, United States

Publication History

Published: 18 August 2010

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ISLPED'10

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SIGDA

ISLPED'10: International Symposium on Low Power Electronics and Design

August 18 - 20, 2010

Texas, Austin, USA

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Cited By

Bouaouda AAfdel KAbounacer R(2023)Meta-heuristic and Heuristic Algorithms for Forecasting Workload Placement and Energy Consumption in Cloud Data CentersAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0801018:1(1-11)Online publication date: Jan-2023
https://doi.org/10.25046/aj080101
Kaulage AShaha SNaik TNikumbh KJagtap V(2023)AI Approach for Minimizing The Energy Consumption of Servers Using Deep-Q-Learning2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126481(1-5)Online publication date: 7-Apr-2023
https://doi.org/10.1109/I2CT57861.2023.10126481
Hou XLi CYang JZheng WLiang XGuo M(2022)Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data CentersIEEE Transactions on Cloud Computing10.1109/TCC.2020.300145410:3(1875-1887)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TCC.2020.3001454
Bouaouda AAfdel KAbounacer R(2022)Forecasting the Energy Consumption of Cloud Data Centers Based on Container Placement with Ant Colony Optimization and Bin Packing2022 5th Conference on Cloud and Internet of Things (CIoT)10.1109/CIoT53061.2022.9766522(150-157)Online publication date: 28-Mar-2022
https://doi.org/10.1109/CIoT53061.2022.9766522
Wu SChen YWang XJin HLiu FChen HYan C(2021)Precise Power Capping for Latency-Sensitive Applications in DatacenterIEEE Transactions on Sustainable Computing10.1109/TSUSC.2018.28818936:3(469-480)Online publication date: 1-Jul-2021
https://doi.org/10.1109/TSUSC.2018.2881893
Song ZZhou RZhao SQin SLui JLi Z(2020)Emergency demand response in edge computingEURASIP Journal on Wireless Communications and Networking10.1186/s13638-020-01789-z2020:1Online publication date: 10-Sep-2020
https://doi.org/10.1186/s13638-020-01789-z
Shao ZIslam MRen S(2020)Your Noise, My SignalProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/33794734:1(1-39)Online publication date: 5-Jun-2020
https://dl.acm.org/doi/10.1145/3379473
Song ZZhou RZhao SQin SLui JLi Z(2020)Edge Emergency Demand Response Control via Scheduling in Cloudlet ClusterIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS50562.2020.9162855(394-399)Online publication date: Jul-2020
https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162855
Bari MChowdhury SBoutaba R(2019)ESSO: An Energy Smart Service Function Chain OrchestratorIEEE Transactions on Network and Service Management10.1109/TNSM.2019.294417016:4(1345-1359)Online publication date: Dec-2019
https://doi.org/10.1109/TNSM.2019.2944170
Ahmed KSutaria JBollen MRonnberg S(2019)Electrical Energy Consumption Model of Internal Components in Data Centers2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)10.1109/ISGTEurope.2019.8905595(1-5)Online publication date: Sep-2019
https://doi.org/10.1109/ISGTEurope.2019.8905595
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