Abstract
To address the server industry’s marketing focus on performance, benchmarking organizations have played a pivotal role in developing techniques to determine the maximum achievable performance level of a system. Generally missing has been an assessment of energy use to achieve that performance. The connection between performance and energy consumption is becoming necessary information for designers and operators as they grapple with power constraints in the data center. While industry and policy makers continue to strategize about a universal metric to holistically measure IT equipment efficiency, existing server benchmarks for various workloads could provide an interim proxy to assess the relative energy efficiency of general servers. This paper discusses ideal characteristics a future energy-performance benchmark might contain, suggests ways in which current benchmarks might be adapted to provide a transitional step to this end, and notes the need for multiple workloads to provide a holistic proxy for a universal metric.
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References
ENERGY STAR Program. ENERGY STAR Program Requirements for Computer Servers (2009)
Forrest, W., Kaplan, J., Kindler, N.: Data Centers: How to cut carbon emissions and costs. McKinsey on Business Technology 14, 6 (2008)
Garber, K.: The Internet’s Hidden Energy Hogs: Data Servers. US News and World Report (2009)
The Green500 List, http://www.green500.org
Hass, J., Monroe, M., Pflueger, J., Pouchet, J., Snelling, P., Rawson, A., Rawson, F.: Proxy Proposals for Measuring Data Center Productivity. The Green Grid: Beaverton, OR (2009)
Koomey, J., Belady, C., Wong, C., Snevely, R., Nordman, B., Hunter, E., Lange, K., Tipley, R., Darnell, G., Accapadi, M., Rumsey, P., Kelley, B., Tschudi, W., Moss, D., Greco, R., Brill, K.: Server Energy Measurement Protocol. Analytics Press, Oakland (2006)
Koomey, J., Brill, K., Turner, W.P., Stanley, J.R.: A Simple Model for Determining True Total Cost of Ownership for Data Centers. The Uptime Institute, Santa Fe (2007)
Neal Nelson & Associates, http://www.nna.com
Standard Performance Evaluation Corporation, http://www.spec.org
Stanley, J.R., Brill, K., Koomey, J.: Four Metrics Define Data Center “Greenness” Enabling Users to Quantify “Energy Efficiency for Profit” Initiatives. The Uptime Institute, Santa Fe (2007)
Transaction Processing Performance Council, http://www.tpc.org/information/about/abouttpc.asp
United States Environmental Protection Agency: Report to Congress on Server and Data Center Energy Efficiency, Public Law 109-431 (2007)
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Fanara, A., Haines, E., Howard, A. (2009). The State of Energy and Performance Benchmarking for Enterprise Servers. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking. TPCTC 2009. Lecture Notes in Computer Science, vol 5895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10424-4_5
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DOI: https://doi.org/10.1007/978-3-642-10424-4_5
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