Definition
Software that utilizes standard applications, or their core routines that focus on a particular access pattern, in order to measure the power consumption or energy efficiency of single or multiple servers or storage systems.
Historical Background
In 1996, one of the earliest works on an energy-efficiency metric was published by Gonzalez and Horowitz (1996) in which the authors proposed the energy-delay product as the metric of energy-efficient microprocessor design. Almost a decade later, January 2006, the SPECpower Committee (https://www.spec.org/power/) was founded and started the development of the first industry-standard energy-efficiency benchmark for server-class compute equipment.
The SPECpower Committee developed the SPEC PTDaemon (http://www.spec.org/power/docs/SPEC-PTDaemon_Design.pdf) interface which offloads the details of controlling a power analyzer or temperature sensor, presenting a common...
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References
Bellosa F (2000) The benefits of event-driven energy accounting in power-sensitive systems. In: Proceedings of the 9th workshop on ACM SIGOPS. pp 37–42
Chauffeur framework. https://www.spec.org/chauffeur-wdk
Chen M, Mao S, Liu Y (2014) Big data: a survey. Mob Netw Appl 19:171. https://doi.org/10.1007/s11036-013-0489-0
Gonzalez R, Horowitz M (1996) Energy dissipation in general purpose microprocessors. IEEE J Solid State Circuits 31(9):1277–1284
Lange K-D (2009) Identifying shades of green: the SPECpower benchmarks. Computer 42(3):95–97. IEEE Computer Society Press, Los Alamitos
Mashayekhy L, Nejad MM, Grosu D, Zhang Q, Shi W (2015) Energy-aware scheduling of MapReduce jobs for big data applications. IEEE Trans Parallel Distrib Syst 26(10):2720–2733
Rivoire S, Shah MA, Ranganathan P, Kozyrakis C (2007) JouleSort: a balanced energy-efficiency benchmark. In: Proceedings of the 2007 ACM SIGMOD international conference on management of data. SIGMOD ‘07. ACM, New York, pp 365–376
Server Efficiency Rating Tool (SERT). https://www.spec.org/sert
SPC specifications. http://spcresults.org/specifications
SPEC power and performance methodology. https://www.spec.org/power/docs/SPEC-Power_and_Performance_Methodology.pdf
SPEC PTDaemon interface. http://www.spec.org/power/docs/SPEC-PTDaemon_Design.pdf
SPEC RG Power Working Group. https://research.spec.org/working-groups/rg-power.html
SPEComp2012. https://www.spec.org/omp2012
SPECpower Committee. https://www.spec.org/power/
SPECpower_ssj2008. http://spec.org/power_ssj2008
SPECvirt_sc2013. https://www.spec.org/virt_sc2013
The SERT 2 metric. https://www.spec.org/sert2/SERT-metric.pdf
TPC Energy. http://www.tpc.org/tpc_energy/default.asp
von Kistowski J, Block H, Beckett J, Lange K-D, Arnold JA, Kounev S (2015) Analysis of the influences on server power consumption and energy efficiency for CPU-intensive workloads. In: Proceedings of the 6th ACM/SPEC international conference on performance engineering (ICPE ‘15). ACM, New York, pp 223–234
von Kistowski J, Block H, Beckett J, Spradling C, Lange K-D, Kounev S (2016) Variations in CPU power consumption. In: Proceedings of the 7th ACM/SPEC on international conference on performance engineering (ICPE ‘16). ACM, New York, pp 147–158
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Lange, KD., von Kistowski, J. (2018). Energy Benchmarking. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_119-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_119-1
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