ABSTRACT
Energy efficiency is an important quality of computing systems. Researchers try to analyze, model, and predict the energy efficiency and power consumption of systems. Such research requires energy efficiency and power measurements, as well as measurement methodologies. Many such methodologies exist. However, they do not account for multiple load levels and workload combinations. In this paper, we introduce the SPEC power methodology and the tools implementing this methodology. We discuss the PTDaemon power measurement tool and the Chauffeur power benchmarking framework. We present the SPEC Server Efficiency Rating Tool (SERT), the workloads it contains and introduce the industry-standard compute efficiency benchmark SPECpower_ssj2008. Finally, we show some examples of how the SPEC power tools have been used in research so far.
- Jeremy A. Arnold. 2014. Energy Efficiency Benchmark Framework (Chauffeur WDK) Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014). ACM, New York, NY, USA.Google Scholar
- C. Babcock. 2012. NY Times data center indictment misses the big picture. InformationWeek Cloud (2012).Google Scholar
- L.A. Barroso and U. Holzle. 2007. The Case for Energy-Proportional Computing. Computer, Vol. 40, 12 (Dec. 2007), 33--37. 0.1007/978--3--319--66583--2_14 Google ScholarDigital Library
- Jóakim von Kistowski, Jeremy A. Arnold, Karl Huppler, Klaus-Dieter Lange, John L. Henning, and Paul Cao. 2015. How to Build a Benchmark. In Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (ICPE '15). ACM, New York, NY, USA. Google ScholarDigital Library
- Jóakim von Kistowski, John Beckett, Klaus-Dieter Lange, Hansfried Block, Jeremy A. Arnold, and Samuel Kounev. 2015. Energy Efficiency of Hierarchical Server Load Distribution Strategies Proceedings of the IEEE 23nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2015). IEEE. Google ScholarDigital Library
- Jóakim von Kistowski, Hansfried Block, John Beckett, Cloyce Spradling, Klaus-Dieter Lange, and Samuel Kounev. 2016. Variations in CPU Power Consumption. In Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016). ACM, New York, NY, USA. Google ScholarDigital Library
- Jóakim von Kistowski, Maximilian Deffner, Jeremy A. Arnold, Klaus-Dieter Lange, John Beckett, and Samuel Kounev. 2017. Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017). ACM, New York, NY, USA. Google ScholarDigital Library
Index Terms
- Measuring and Benchmarking Power Consumption and Energy Efficiency
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