Patrick Pegus
Tian Guo
Prashant Shenoy
ABSTRACT
Data centers are an indispensable part of today's IT infrastructure. To keep pace with modern computing needs, data centers continue to grow in scale and consume increasing amounts of power. While prior work on data centers has led to significant improvements in their energy-efficiency, detailed measurements from these facilities' operations are not widely available, as data center design is often considered part of a company's competitive advantage. However, such detailed measurements are critical to the research community in motivating and evaluating new energy-efficiency optimizations. In this paper, we present a detailed analysis of a state-of-the-art 15MW green multi-tenant data center that incorporates many of the technological advances used in commercial data centers. We analyze the data center's computing load and its impact on power, water, and carbon usage using standard effectiveness metrics, including PUE, WUE, and CUE. Our results reveal the benefits of optimizations, such as free cooling, and provide insights into how the various effectiveness metrics change with the seasons and increasing capacity usage. More broadly, our PUE, WUE, and CUE analysis validate the green design of this LEED Platinum data center.
- Massacusetts Green High Performance Computing Center: Green Design. http://www.mghpcc.org/about/green-design/.Google Scholar
- U. E. P. Agency. eGRID 9th edition Version 1.0 Year 2010 GHG Annual Output Emission Rates. http://www.epa.gov/cleanenergy/documents/egridzips/eGRID_9th_edition_V1-0_year_2010_GHG_Rates.pdf.Google Scholar
- D. Andersen, J. Franklin, M. Kaminsky, A. Phanishayee, L. Tan, and V. Vasudevan. FAWN: A Fast Array of Wimpy Nodes. In SOSP, October 2009. Google ScholarDigital Library
- L. Barroso and U. Hölzle. The Case for Energy-Proportional Computing. Computer, 40(12), December 2007. Google ScholarDigital Library
- C. Belady, D. Azevedo, M. Patterson, J. Pouchet, and R. Tipley. Carbon Usage Effectiveness (CUE): A Green Grid Data Center Sustainability Metric. White Paper, 32, 2010.Google Scholar
- J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle. Managing Energy and Server Resources in Hosting Centers. In SOSP, October 2001. Google ScholarDigital Library
- Facebook. OpenCompute Project: Energy-Efficiency. http://www.opencompute.org/about/energy-efficiency/.Google Scholar
- K. Fehrenbacher. The Era of the 100MW Data Center. In Gigaom, January 31 2012.Google Scholar
- I. Goiri, T. D. Nguyen, and R. Bianchini. CoolAir: Temperature- and Variation-Aware Management for Free-Cooled Datacenters. In ASPLOS, March 2015. Google ScholarDigital Library
- Google. Efficiency: How we do it. http://www.google.com/about/datacenters/efficiency/internal/.Google Scholar
- GreenGrid. Water Usage Effectiveness (WUE): A Green Grid Data Center Sustainability Metric. http://www.thegreengrid.org/en/Global/Content/white-papers/WUE.Google Scholar
- J. Koomey. Growth in Data Center Electricity Use 2005 to 2010. In Analytics Press, Oakland, California, August 2011.Google Scholar
- I. Manousakis, I. Goiri, S. Sankar, T. D. Nguyen, and R. Bianchini. CoolProvision: Underprovisioning Datacenter Cooling. In SoCC, August 2015. Google ScholarDigital Library
- L. McTiernan. Open Sourcing PUE/WUE Ddashboards. https://code.facebook.com/posts/272417392924843/open-sourcing-pue-wue-dashboards/, March 2014.Google Scholar
- R. Miller. Data Centers Move to Cut Water Waste. In Data Center Knowledge, April 9th 2009.Google Scholar
- J. Moore, J. Chase, P. Ranganathan, and R. Sharma. Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers. In USENIX, June 2005. Google ScholarDigital Library
- J. Parr. Designing a Very Efficient Data Center. https://www.facebook.com/notes/facebook-engineering/designing-a-very-efficient-data-center/10150148003778920, April 2011.Google Scholar
- A. O. Rabassa III. Economic performance of modularized hot-aisle contained datacenter PODs utilizing horizontal airflow cooling. http://hdl.handle.net/1721.1/90248.Google Scholar
- S. Rivoire, M. Shah, and P. Ranganathan. JouleSort: A Balanced Energy-Efficient Benchmark. In SIGMOD, June 2007. Google ScholarDigital Library
- S. Subramanya, Z. Mustafa, D. Irwin, and P. Shenoy. Beyond Energy-Efficiency: Evaluating Green Datacenter Applications for Energy-Agility. In ICPE, March 2016. Google ScholarDigital Library
- Y. Sverdlik. Survey: Industry Average Data Center PUE Stays Nearly Flat Over Four Years. In Data Center Knowledge, June 2nd 2014.Google Scholar
- N. Tolia, Z. Wang, M. Marwah, C. Bash, P. Ranganathan, and X. Zhu. Delivering Energy Proportionality with Non-Energy-Proportional Systems: Optimizing the Ensemble. In HotPower, December 2008. Google ScholarDigital Library
Index Terms
- Analyzing the Efficiency of a Green University Data Center
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