research-article

Joint capacity planning and operational management for sustainable data centers and demand response

Authors:

Cullen BashAuthors Info & Claims

e-Energy '16: Proceedings of the Seventh International Conference on Future Energy Systems

Article No.: 16, Pages 1 - 12

https://doi.org/10.1145/2934328.2934344

Published: 21 June 2016 Publication History

Abstract

Reducing costs plays a crucial role in building and operating data centers. Internet service providers such as Facebook and Google spend billions of dollars on capacity expansion and operations of their global data centers. Traditionally, capacity planning for data centers is done separately from operational management, which incurs inefficiency. In fact, operational management has significant impacts on capacity planning. Motivated by this gap, we propose a framework that jointly optimizes both capacity planning and operational management for sustainable data centers and data centers participating in demand response programs. Numerical results based on real-world cases highlight that the proposed framework remarkably reduces up to 50% of total expenditures and 75% of greenhouse gas emissions compared to conventional methods. Additionally, our results show that participations in various demand response programs result in vastly different capacity planning decisions and lead to emission reductions of up to 60%.

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cover image ACM Other conferences

e-Energy '16: Proceedings of the Seventh International Conference on Future Energy Systems

June 2016

266 pages

ISBN:9781450343930

DOI:10.1145/2934328

Copyright © 2016 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 the author(s) 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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Publication History

Published: 21 June 2016

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e-Energy'16

e-Energy'16: The Seventh International Conference on Future Energy Systems

June 21 - 24, 2016

Ontario, Waterloo, Canada

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Feng BDing Z(2025)Application-Oriented Cloud Workload Prediction: A Survey and New PerspectivesTsinghua Science and Technology10.26599/TST.2024.901002430:1(34-54)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2024.9010024
Lin LWijayawardana RRao VNguyen HGNIBGA EChien A(2024)Exploding AI Power Use: an Opportunity to Rethink Grid Planning and ManagementProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661959(434-441)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3632775.3661959
Lin LChien A(2023)Adapting Datacenter Capacity for Greener Datacenters and GridProceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3575813.3595197(200-213)Online publication date: 20-Jun-2023
https://dl.acm.org/doi/10.1145/3575813.3595197
Zhang YWilson DPaschalidis ICoskun A(2022)HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS AssuranceIEEE Transactions on Sustainable Computing10.1109/TSUSC.2021.30772547:1(157-171)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSUSC.2021.3077254
Zhang YWilson DPaschalidis ICoskun A(2021)A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE51398.2021.9474075(282-287)Online publication date: 1-Feb-2021
https://doi.org/10.23919/DATE51398.2021.9474075
Lin LZavala VChien A(2021)Evaluating Coupling Models for Cloud Datacenters and Power GridsProceedings of the Twelfth ACM International Conference on Future Energy Systems10.1145/3447555.3464868(171-184)Online publication date: 22-Jun-2021
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Le TSun XChowdhury MLiu ZBilas AMagoutis KMarkatos EKostic DSeltzer M(2020)AlloXProceedings of the Fifteenth European Conference on Computer Systems10.1145/3342195.3387547(1-16)Online publication date: 15-Apr-2020
https://dl.acm.org/doi/10.1145/3342195.3387547
Shang XLiu YMao YLiu ZYang Y(2020)Greening Reliability of Virtual Network Functions via Online Optimization2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS49365.2020.9212998(1-10)Online publication date: Jun-2020
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Klingert SWilken NBecker C(2020)Sim2Win: How simulation can help data centers to benefit from controlling their power profileEnergy Efficiency10.1007/s12053-020-09873-5Online publication date: 19-Jun-2020
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Zhang YPaschalidis ICoskun A(2019)Data Center Participation in Demand Response Programs with Quality-of-Service GuaranteesProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328309(285-302)Online publication date: 15-Jun-2019
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