research-article

Opportunities and challenges to unify workload, power, and cooling management in data centers

Authors:

Cullen BashAuthors Info & Claims

FeBiD '10: Proceedings of the Fifth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks

Pages 1 - 6

https://doi.org/10.1145/1791204.1791205

Published: 13 April 2010 Publication History

Abstract

Independent optimization for workload and power management, and active cooling control have been studied extensively to improve data center energy efficiency. Recently, proposals have started to advocate unified workload, power, and cooling management for further energy savings. In this paper, we study this problem with the objectives of both saving energy and capping power. We present the detailed models derived in our previous work from experiments on an blade enclosure system that can be representative of a data center, discuss the optimization opportunities for coordinated power and cooling management, and the challenges for controller design. We then propose a few design principles and examples for unified workload management, power minimization, and power capping. Our simulation-based evaluation shows that the controllers can cap the total power consumption while maintaining the thermal conditions and improve the overall energy efficiency. We argue that the same opportunities, challenges, and designs are also generally applicable to data center level management.

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https://doi.org/10.1109/IGSC64514.2024.00029
Jennings BStadler R(2018)Resource Management in CloudsJournal of Network and Systems Management10.1007/s10922-014-9307-723:3(567-619)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1007/s10922-014-9307-7
Wang GWang SLuo BShi WZhu YYang WHu DHuang LJin XXu WCadar CPietzuch PKeeton KRodrigues R(2016)Increasing large-scale data center capacity by statistical power controlProceedings of the Eleventh European Conference on Computer Systems10.1145/2901318.2901338(1-15)Online publication date: 18-Apr-2016
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Recommendations

Opportunities and challenges to unify workload, power, and cooling management in data centers

Independent optimization for workload and power management, and active cooling control have been studied extensively to improve data center energy efficiency. Recently, proposals have started to advocate unified workload, power, and cooling management ...
Joint optimization of idle and cooling power in data centers while maintaining response time
ASPLOS '10

Server power and cooling power amount to a significant fraction of modern data centers' recurring costs. While data centers provision enough servers to guarantee response times under the maximum loading, data centers operate under much less loading most ...
Joint optimization of idle and cooling power in data centers while maintaining response time
ASPLOS '10

Server power and cooling power amount to a significant fraction of modern data centers' recurring costs. While data centers provision enough servers to guarantee response times under the maximum loading, data centers operate under much less loading most ...

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cover image ACM Conferences

FeBiD '10: Proceedings of the Fifth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks

April 2010

30 pages

ISBN:9781450300773

DOI:10.1145/1791204

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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Published: 13 April 2010

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Cited By

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https://doi.org/10.1109/IGSC64514.2024.00029
Jennings BStadler R(2018)Resource Management in CloudsJournal of Network and Systems Management10.1007/s10922-014-9307-723:3(567-619)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1007/s10922-014-9307-7
Wang GWang SLuo BShi WZhu YYang WHu DHuang LJin XXu WCadar CPietzuch PKeeton KRodrigues R(2016)Increasing large-scale data center capacity by statistical power controlProceedings of the Eleventh European Conference on Computer Systems10.1145/2901318.2901338(1-15)Online publication date: 18-Apr-2016
https://dl.acm.org/doi/10.1145/2901318.2901338
Shuja JBilal KMadani SOthman MRanjan RBalaji PKhan S(2016)Survey of Techniques and Architectures for Designing Energy-Efficient Data CentersIEEE Systems Journal10.1109/JSYST.2014.231582310:2(507-519)Online publication date: Jun-2016
https://doi.org/10.1109/JSYST.2014.2315823
Abad JSoleimani A(2016)A neuro-fuzzy fan speed controller for dynamic management of processor fan power consumption2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)10.1109/CSIEC.2016.7482121(148-153)Online publication date: Mar-2016
https://doi.org/10.1109/CSIEC.2016.7482121
Zhang WWen YWah Wong YChuan Toh KChen C(2016)Towards Joint Optimization Over ICT and Cooling Systems in Data Centre: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2016.254510918:3(1596-1616)Online publication date: Nov-2017
https://doi.org/10.1109/COMST.2016.2545109
Yao JLiu XZhang C(2014)Predictive Electricity Cost Minimization Through Energy Buffering in Data CentersIEEE Transactions on Smart Grid10.1109/TSG.2013.22745255:1(230-238)Online publication date: Jan-2014
https://doi.org/10.1109/TSG.2013.2274525
Guler HCambazoglu BOzkasap O(2014)Task allocation in volunteer computing networks under monetary budget constraintsPeer-to-Peer Networking and Applications10.1007/s12083-014-0301-38:6(938-951)Online publication date: 18-Jul-2014
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Shuja JMadani SBilal KHayat KKhan SSarwar S(2012)Energy-efficient data centersComputing10.1007/s00607-012-0211-294:12(973-994)Online publication date: 2-Sep-2012
https://doi.org/10.1007/s00607-012-0211-2
Chen HSong MSong JGavrilovska ASchwan K(2011)HEaRSProceedings of the 2011 IEEE International Conference on Cluster Computing10.1109/CLUSTER.2011.60(508-512)Online publication date: 26-Sep-2011
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