Hiroshi Endo
Abstract
In order to minimize the container server power consumption, a new cooling system that incorporates fan-less servers and freshair cooling is proposed. In a conventional container data center, the required air flow for sever cooling is supplied by both server built-in fans and container facility fans. Therefore, this work has been carried out on fan-less servers to reduce power consumption. Although fanless servers are expected to reduce power consumption, facility fans have to provide excessive air to secure a safe operation of servers. In order to achieve optimized air-flow from facility fans to cool fan-less servers, a power saving control system incorporating the IT system and cooling facilities is proposed. Here, facility fans are controlled based on server information such as CPU temperature, rack position and so on. Through this study, we suggest that the minimum point in total power consumption of the container server with no performance penalty existed by the trade-off relationship between the power consumption changes of servers and of facility fans with CPU temperature. This enables us to operate the server system with minimized power consumption depending on the air temperature. To verify the energy-saving effect of this technology, a prototype container server with the proposed system was constructed. As a result, 22.8% energy saving was achieved with this new system, compared with the conventional container servers with built-in fans.
- J. M. Jackson, J. G. Koomey, M. Blazek and B. Nordman, "National and regional implications of internet data center growth in the US," Resources, Conservation and Recycling, vol.36, pp.175--1S5, 2002Google Scholar
Cross Ref
- "Data Center Energy Forecast Report," Environmental Protection Agency, July 29, 200S.Google Scholar
- J. M. Jackson, J. G. Koomey, B. Nordman, and M. Blazek, "Data center power requirements: measurements from Silicon Valley," Energy, vol.2S, issureS, pp. 837--850(14), June 2003.Google ScholarCross Ref
- M. Takahashi, T. Uekusa, M. Kishita and H. Kaneko, "Aisle- capping method for airflow design in data centers," Telecommunications Energy Conference, INTELEC 200S, September 200S.Google Scholar
- T. Kimura, K. Muroya, H. Tanaka, M. Youro and J. Urata, "Optimization of Operational Conditions for Air-Conditioning Systems with Aisle Capping Method," Information and Telecommunication Technologies (APSITT), Sth Asia-Pacific Symposium on, 2010.Google Scholar
- J. Cho and B. S. Kim, "Evaluation of air management system's thermal performance for superior cooling efficiency in high-density data centers," Energy and Buildings, vol.43, issue 9, pp. 2145--2155, September 2011.Google ScholarCross Ref
- J. Moore, R. Sharma, R. Shih, J. Chase, C. Patel and P. Ranganathan, "Going beyond CPUs: The Potential of Temperature-Aware Solutions for the Data Center," Hewlett Packard Labs, 2004.Google Scholar
- T. Lu, X. Lü, M. Remes and M. Viljanen, "Investigation of air management and energy performance in a data center in Finland: Case study," Energy and Buildings, Volume 43, Issue 12, Pages 3360--3372, December 2011.Google ScholarCross Ref
- I. Yamaguchi, M. Koganei, T. Goto and M. Tsushima, "Study on outside air cooling systems used in data processing facilities," Journal of Asian architecture and building engineering, Volume 11, Issure 1, Pagee 219--223, January 2012.Google ScholarCross Ref
- Fujitsu, "Fujitsu Develops Power Saving System Control Technology for Container Data Centers," April 4, 2012. http://www.fujitsu.com/global/news/pr/archives/month/2012/20120404-02.html.Google Scholar
- 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," 4th International Green Computing Conference (IGCC), IEEE, June 29, 2013Google Scholar
- Fujitsu Ltd., "WHITE PAPER/PERFORMANCE REPORT PRIMERGY CX120 S1," 2011.Google Scholar
- Fujitsu, "PRIMARGY CX120 S1 Data Sheet," 20th May 2010.Google Scholar
- Fujitsu, "PRIMARGY CX122 S1 Data Sheet," 24th February 2012.Google Scholar
- Intel Corporation, "Intel® Xeon® Processor E5506," http://ark.intel.com/products/37096/intel-xeon-processor-e5506-4m-cache-2_13-ghz-4_80-gts-intel-qpi.Google Scholar
- Intel Corporation, "Intel® Xeon® Processor X5570," http://ark.intel.com/ja/products/37111/Intel-Xeon-Processor-X5570-8MCache-2_93-GHz-6_40-GTs-Intel-QPI.Google Scholar
- Intel Corporation, "Intel® Xeon® Processor E5606," http://ark.intel.com/ja/products/52583/Intel-Xeon-Processor-E5606-8MCache-2_13-GHz-4_80-GTs-Intel-QPI.Google Scholar
- "Climate Statistics," Japan Meteorological Agency, 2011-2012.Google Scholar
- Mudge, T., "Power: a first-class architectural design constraint," Computer, vol. 34, Issue 4, Pages 52--58, April 2001. Google ScholarDigital Library
- J. Okitsu, Y. Hirashima, Y. Asa, T. Kato and T. Sato, "IT Workload Allocation Cooperativewith Air Conditioning System for Environment- Conscious Data Center," FT2010, 2010.Google Scholar
- T. Hayashi, T. Tominaga, K. Saigo and P. Gemma, "Minimum data set for controlling data center equipment for energy saving management," Power and Energy Society General Meeting, 2012 IEEE, 2012.Google Scholar
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