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CoolAir: Temperature- and Variation-Aware Management for Free-Cooled Datacenters

Published:14 March 2015Publication History
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Abstract

Despite its benefits, free cooling may expose servers to high absolute temperatures, wide temperature variations, and high humidity when datacenters are sited at certain locations. Prior research (in non-free-cooled datacenters) has shown that high temperatures and/or wide temporal temperature variations can harm hardware reliability. In this paper, we identify the runtime management strategies required to limit absolute temperatures, temperature variations, humidity, and cooling energy in free-cooled datacenters. As the basis for our study, we propose CoolAir, a system that embodies these strategies. Using CoolAir and a real free-cooled datacenter prototype, we show that effective management requires cooling infrastructures that can act smoothly. In addition, we show that CoolAir can tightly manage temperature and significantly reduce temperature variation, often at a lower cooling cost than existing free-cooled datacenters. Perhaps most importantly, based on our results, we derive several principles and lessons that should guide the design of management systems for free-cooled datacenters of any size.

References

  1. F. Ahmad and T. Vijaykumar. Joint Optimization of Idle and Cooling Power in Data Centers while Maintaining Response Time. In ASPLOS, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. Arlitt, C. Bash, S. Blagodurov, Y. Chen, T. Christian, D. Gmach, C. Hyser, N. Kumari, Z. Liu, M. Marwah, A. McReynolds, C. Patel, A. Shah, Z. Wang, and R. Zhou. Towards the Design and Operation of Net-zero Energy Data Centers. In ITherm, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  3. ASHRAE Technical Committee. 2011 thermal guidelines for data processing environments -- expanded data center classes and usage guidance. Whitepaper, 2011.Google ScholarGoogle Scholar
  4. A. Banerjee, T. Mukherjee, G. Varsamopoulos, and S. Gupta. Cooling-Aware and Thermal-Aware Workload Placement for Green HPC Data Centers. In IGCC, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. C. Bash and G. Forman. Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center. In USENIX ATC, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. C. Bash, C. Patel, and R. Sharma. Dynamic Thermal Management of Air Cooled Data Centers. In ITherm, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  7. Carbon Trust. Variable Speed Drives, 2013. http://www.carbontrust.com.Google ScholarGoogle Scholar
  8. Y. Chen, A. Ganapathi, R. Griffith, and R. Katz. The Case for Evaluating MapReduce Performance Using Workload Suites. In MASCOTS, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Y. Chen, S. Alspaugh, A. Ganapathi, R. Griffith, and R. Katz. Statistical Workload Injector for MapReduce, 2012. https://github.com/SWIMProjectUCB/SWIM.Google ScholarGoogle Scholar
  10. N. El-Sayed, I. Stefanovici, G. Amvrosiadis, A. Hwang, and B. Schroeder. Temperature Management in Data Centers: Why Some (Might) Like it Hot. In SIGMETRICS, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Emerson Network Power. Liebert DSE -- DX Cooling and Refrigerant Economizer System, 2013. http://www.emersonnetworkpower.com.Google ScholarGoogle Scholar
  12. H. Endo, H. Kodama, H. Fukuda, T. Sugimoto, T. Horie, and M. Kondo. Effect of Climatic Conditions on Energy Consumption in Direct Fresh-Air Container Data Centers. In IGCC, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  13. EPFL. CloudSuite, 2012. http://parsa.epfl.ch/cloudsuite/.Google ScholarGoogle Scholar
  14. Facebook. Prineville - Facebook Power, 2013. https://fbpuewue.com/prineville.Google ScholarGoogle Scholar
  15. B. Gebrehiwot, K. Aurangabadkar, N. Kannan, D. Agonafer, D. Sivanandan, and M. Hendrix. CFD Analysis of Free Cooling of Modular Data Centers. In SEMI-THERM, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  16. I. Goiri, K. Le, J. Guitart, J. Torres, and R. Bianchini. Intelligent Placement of Datacenters for Internet Services. In ICDCS, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. I. Goiri, W. Katsak, K. Le, T. D. Nguyen, and R. Bianchini. Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy. In ASPLOS, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Google. Efficiency: How We Do It - Data Centers - Google, 2013. http://www.google.com/about/datacenters/efficiency/internal/.Google ScholarGoogle Scholar
  19. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. Witten. The WEKA Data Mining Software: An Update. ACM SIGKDD Explorations Newsletter, 11(1), 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. T. Heath, A. P. Centeno, P. George, L. Ramos, Y. Jaluria, and R. Bianchini. Mercury and Freon: Temperature Emulation and Management for Server Systems. In ASPLOS, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Hitachi. Ramp Load/Unload Technology in Hard Disk Drives, 2007. http://www.hgst.com.Google ScholarGoogle Scholar
  22. N. Kumari, A. Shah, C. Bash, Y. Chen, Z. Liu, Z. Wang, T. Cader, M. Slaby, D. Cepulis, C. Felix, A. Aviles, and M. Figueroa. Optimizing Data Center Energy Efficiency via Ambient-Aware IT Workload Scheduling. In ITherm, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  23. K. Le, J. Zhang, J. Meng, R. Bianchini, Y. Jaluria, and T. D. Nguyen. Reducing Electricity Cost Through Virtual Machine Placement in High Performance Computing Clouds. In SC, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. J. Leverich and C. Kozyrakis. On the Energy (In)efficiency of Hadoop Clusters. In HotPower, 2009.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. L. Li, C. Liang, J. Liu, S. Nath, A. Terzis, and C. Faloutsos. Thermocast: A Cyber-Physical Forecasting Model for Data Centers. In KDD, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Z. Li and S. Deng. An Experimental Study on the Inherent Operational Characteristics of a Direct Expansion (DX) Air Conditioning (A/C) Unit. Building and Environment, 42, 2007.Google ScholarGoogle Scholar
  27. Z. Liu, Y. Chen, C. Bash, A. Wierman, D. Gmach, Z. Wang, M. Marwah, and C. Hyser. Renewable and Cooling Aware Workload Management for Sustainable Data Centers. In SIGMETRICS, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. R. Miller. Free Cooling, Illustrated, 2009. http://www.datacenterknowledge.com/archives/2009/02/03/free-cooling-illustrated/.Google ScholarGoogle Scholar
  29. R. Miller. The Evolution of Facebook's Data Center Cooling, 2012. http://www.datacenterknowledge.com/archives/2012/12/04/evolution-of-facebooks-cooling/.Google ScholarGoogle Scholar
  30. J. Moore, J. Chase, P. Ranganathan, and R. Sharma. Making Scheduling 'Cool': Temperature-Aware Workload Placement in Data Centers. In USENIX ATC, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. J. Moore, J. Chase, and P. Ranganathan. Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers. In ICAC, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. T. Mukherjee, A. Banerjee, G. Varsamopoulos, S. Gupta, and S. Rungta. Spatio-Temporal Thermal-aware Job Scheduling to Minimize Energy Consumption in Virtualized Heterogeneous Data Centers. Computer Networks, 53(17), 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. J. Park. Open Compute Project-Data Center. Technical report, Facebook, 2011.Google ScholarGoogle Scholar
  34. E. Pinheiro, W.-D. Weber, and L. A. Barroso. Failure Trends in a Large Disk Drive Population. In FAST, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. L. Ramos and R. Bianchini. C-Oracle: Predictive Thermal Management for Data Centers. In HPCA, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  36. S. Sankar, M. Shaw, K. Vaid, and S. Gurumurthi. Datacenter Scale Evaluation of the Impact of Temperature on Hard Disk Drive Failures. ACM Transactions on Storage, 9(2), 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Stulz. Stulz Solutions and Services, 2013. http://www.stulz-ats.com.Google ScholarGoogle Scholar
  38. US DOE. Weather Data. http://apps1.eere.energy.gov/buildings/energyplus/weatherdata_about.cfm.Google ScholarGoogle Scholar
  39. B. Weerts, D. Gallaher, R. Weaver, and O. V. Geet. Green Data Center Cooling: Achieving 90% Reduction: Airside Economization and Unique Indirect Evaporative Cooling. In GreenTech, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  40. R. Zhou, Z. Wang, C. B. E, A. McReynolds, C. Hoover, R. Shih, N. Kumari, and R. Sharma. A Holistic and Optimal Approach for Data Center Cooling Management. In ACC, 2011.Google ScholarGoogle Scholar
  41. R. Zhou, Z. Wang, A. McReynolds, C. Bash, T. Christian, and R. Shih. Optimization and Control of Cooling Microgrids for Data Centers. In ITherm, 2012.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM SIGPLAN Notices
        ACM SIGPLAN Notices  Volume 50, Issue 4
        ASPLOS '15
        April 2015
        676 pages
        ISSN:0362-1340
        EISSN:1558-1160
        DOI:10.1145/2775054
        • Editor:
        • Andy Gill
        Issue’s Table of Contents
        • cover image ACM Conferences
          ASPLOS '15: Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems
          March 2015
          720 pages
          ISBN:9781450328357
          DOI:10.1145/2694344

        Copyright © 2015 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 14 March 2015

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