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Towards Cooling Internet-Scale Distributed Networks on the Cheap

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Rahul UrgaonkarAuthors Info & Claims

SIGMETRICS '15: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

Pages 469 - 470

https://doi.org/10.1145/2745844.2745898

Published: 15 June 2015 Publication History

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Abstract

Internet-scale Distributed Networks (IDNs) are large distributed systems that comprise hundreds of thousands of servers located around the world. IDNs consume significant amounts of energy to power their deployed server infrastructure, and nearly as much energy to cool that infrastructure. We study the potential benefits of using renewable open air cooling (OAC) in an IDN. Our results show that by using OAC, a global IDN can extract 51% cooling energy reducing during summers and a 92% reduction in the winter.

References

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Z. Liu, M. Lin, A. Wierman, S. Low, and L. Andrew. Greening geographical load balancing. In Proc of ACM Sigmetrics, 2011.

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Asfandyar Qureshi, Rick Weber, Hari Balakrishnan, John Guttag, and Bruce Maggs. Cutting the Electric Bill for Internet-Scale Systems. In Proceedings of SIGCOMM, 2009.

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Michael Patterson Tom Harvey and John Bean. Updated air-side free cooling maps: The impact of ASHRAE 2011 allowable ranges. The Green Grid, 2012.

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Cited By

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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
(2017)A novel utilisation-aware energy consumption model for content distribution networksInternational Journal of Web and Grid Services10.1504/IJWGS.2017.08514613:3(290-314)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJWGS.2017.085146

Index Terms

Towards Cooling Internet-Scale Distributed Networks on the Cheap
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Published In

SIGMETRICS '15: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

June 2015

488 pages

ISBN:9781450334860

DOI:10.1145/2745844

General Chairs:
Bill Lin
University of California, San Diego
,
Jun (Jim) Xu
Georgia Tech
,
Program Chairs:
Sudipta Sengupta
Microsoft Research
,
Devavrat Shah
Massachusetts Institute of Technology

ACM SIGMETRICS Performance Evaluation Review Volume 43, Issue 1
Performance evaluation review
June 2015
468 pages
ISSN:0163-5999
DOI:10.1145/2796314
Editors:
Derek Eager
University of Saskatchewan
,
Carey Williamson
University of Calgary
Issue’s Table of Contents

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2015

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National Science Foundation

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SIGMETRICS '15

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SIGMETRICS

SIGMETRICS '15: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems

June 15 - 19, 2015

Oregon, Portland, USA

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SIGMETRICS '15 Paper Acceptance Rate 32 of 239 submissions, 13%;

Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Cited By

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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
(2017)A novel utilisation-aware energy consumption model for content distribution networksInternational Journal of Web and Grid Services10.1504/IJWGS.2017.08514613:3(290-314)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJWGS.2017.085146

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