%0 Report %1 KiLaArBlDaBeTr2017-SERT-metric %A von Kistowski, Jóakim %A Lange, Klaus-Dieter %A Arnold, Jeremy A. %A Block, Hansfried %A Darnell, Greg %A Beckett, John %A Tricker, Mike %C 7001 Heritage Village Plaza, Suite 225, Gainesville, VA 20155, USA %D 2017 %K Metrics_and_benchmarking_methodologies Performance Power Power-energy_efficient_computing SPEC Tool descartes t_techreport %T The SERT Metric and the Impact of Server Configuration %U http://spec.org/sert2/SERT-metric.pdf %X The Server Efficiency Rating Tool (SERT) is an established tool for measuring and analyzing the energy efficiency of servers. The SERT suite measuresserver efficiency using multiple workloads, which in turn consist ofsmallscale mini‐workloads called worklets. Using multiple worklets enables the SERT suite to holistically explore the behavior of many different systems and enables thorough analysis. However, multiple workloads also result in multiple energy efficiency scores.  This document introduces the single SERT metric (SERT Efficiency Score), which can be used to easily compare systems using a single number. This document explains how the SERT metric is calculated. It also illustrates how a system under test (SUT) configuration and changes to this configuration can impact the SERT Efficiency Score and demonstrates this using a running example.

@techreport{KiLaArBlDaBeTr2017-SERT-metric, abstract = {{The Server Efficiency Rating Tool (SERT) is an established tool for measuring and analyzing the energy efficiency of servers. The SERT suite measuresserver efficiency using multiple workloads, which in turn consist ofsmallscale mini‐workloads called worklets. Using multiple worklets enables the SERT suite to holistically explore the behavior of many different systems and enables thorough analysis. However, multiple workloads also result in multiple energy efficiency scores.  This document introduces the single SERT metric (SERT Efficiency Score), which can be used to easily compare systems using a single number. This document explains how the SERT metric is calculated. It also illustrates how a system under test (SUT) configuration and changes to this configuration can impact the SERT Efficiency Score and demonstrates this using a running example.}}, added-at = {2020-04-05T23:17:48.000+0200}, address = {7001 Heritage Village Plaza, Suite 225, Gainesville, VA 20155, USA}, author = {von Kistowski, J{\'o}akim and Lange, Klaus-Dieter and Arnold, Jeremy A. and Block, Hansfried and Darnell, Greg and Beckett, John and Tricker, Mike}, biburl = {https://www.bibsonomy.org/bibtex/2c160d7ea546f728d7f2fea694795e35c/se-group}, institution = {Standard Performance Evaluation Corporation (SPEC)}, interhash = {985861cd16ed329347179c066e4be4c3}, intrahash = {c160d7ea546f728d7f2fea694795e35c}, keywords = {Metrics_and_benchmarking_methodologies Performance Power Power-energy_efficient_computing SPEC Tool descartes t_techreport}, month = {March}, timestamp = {2020-10-06T10:06:03.000+0200}, title = {{The SERT Metric and the Impact of Server Configuration}}, url = {http://spec.org/sert2/SERT-metric.pdf}, year = 2017 }