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.
Energy benchmarks are useful tools to analyze the power consumption and efficiency of IT equipment. This chapter will provide historical context for energy benchmarking, brief descriptions of the most commonly used benchmarks, current research findings, and future research challenges.
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...
- Bellosa F (2000) The benefits of event-driven energy accounting in power-sensitive systems. In: Proceedings of the 9th workshop on ACM SIGOPS European workshop, pp 37–42 See ACM link: https://dl.acm.org/citation.cfm?id=566736
- Chauffeur framework. https://www.spec.org/chauffeur-wdk
- 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 223–234Google Scholar