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Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
Cost and Energy Reduction Evaluation for ARM Based Web Servers
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Cost and Energy Reduction Evaluation for ARM Based Web Servers

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  • 1. Cost and Energy Reduction Evaluation for ARM Based Web Servers Olle Svanfeldt-Winter, Sébastien Lafond, Johan Lilius Sébastien Lafond sebastien.lafond@abo.fi 13.12.2011 Åbo Akademi University - Department of Information Technologies 1
  • 2. OutlinesMotivationsEnergy consumptionTotal energy consumptionEnergy propositional computingData Centers CostsEvaluated HWBenchmarksResultsConclusion 13.12.2011 Åbo Akademi University - Department of Information Technologies 2
  • 3. MotivationsEnergy consumption of data centers is both aneconomical and environmental issue– important impact on the possibility to construct or expend data centres– cooling infrastructures are expensiveModels for data centre costs exists– It is possible to determine the relationship between the total cost of a data center and the energy consumption of its server 13.12.2011 Åbo Akademi University - Department of Information Technologies 3
  • 4. Energy consumptionThe two main metrics are: TotalFacilityPower– PUE = ITequipmentPower 1– DCiE = ×100 PUEBoth express the energy efficient of the data centerBut at the end the total energy consumption matters– this is what you will pay for every month– infrastructure design based on the maximum power dissipation of the data center 13.12.2011 Åbo Akademi University - Department of Information Technologies 4
  • 5. Total energy consumption According to [1] the processors in a typical server contributed to: – 45% of the total power dissipation at peak performance – 27% when idle Power dissipation is application specific, but on average the dissipation is 72% of the peak power Google server containers are reported to house 1160 servers and dissipate 250KW each.[1] L. Barroso and U. Holzle, “The case for energy-proportional computing,” Computer,vol. 40, no. 12, pp. 33–37, December 2007. 13.12.2011 Åbo Akademi University - Department of Information Technologies 5
  • 6. Energy propositional computingIdeally the energy consumption of data centersshould be proportional to the required performance– this is unfortunately far from being true– energy efficiency is best at peak performance– however typical servers operate most of the time at 10 to 50% of their capacityUsing low-end and cheaper processors might be ananswer for better energy proportionality– increase the granularity of power management steps 13.12.2011 Åbo Akademi University - Department of Information Technologies 6
  • 7. Data Centers Costs Based on Hamilton analysis [1,2] • $0,07 per KWh • 80% average load usage • 50k servers • 165 W per server • 5% cost of money • 10 year amortization time • 4 year amortization time for the network • 3 year amortization time for the server[1] J. Hamilton, “Cooperative expendable micro-slice servers (cems): Low cost, low power servers for internet-scaleservices,” in Proceedings of CIDR 09, January 2009.[2] “Overall data center costs. http://perspectives.mvdirona.com/2010/09/18/overalldatacentercosts.aspx,” JamesHamilton, September 2010 13.12.2011 Åbo Akademi University - Department of Information Technologies 7
  • 8. Evaluated HWVersatile Express– Quad-core Cortex A9– 1GB DDR2– 400MhzTegra 250– Dual-core Cortex-A9– 1GB DDR2– 1Ghz 13.12.2011 Åbo Akademi University - Department of Information Technologies 8
  • 9. BenchmarksAutobench and Apache 2 HTTP server– static web pagesSPECweb2005– more demanding web servicesErlang– micro benchmarks– real world SIP proxy 13.12.2011 Åbo Akademi University - Department of Information Technologies 9
  • 10. ResultsApache 13.12.2011 Åbo Akademi University - Department of Information Technologies 10
  • 11. ResultsSPECweb2005 13.12.2011 Åbo Akademi University - Department of Information Technologies 11
  • 12. ResultsErlang Calls per dissipated Watt 13.12.2011 Åbo Akademi University - Department of Information Technologies 12
  • 13. ConclusionThe performance of 2 ARMv7 based ARM cortex-A9was measured and evaluated and compared to XeonprocessorsMeasurements show that the Cortex A9 can be upto– 11 times more efficient with the Apache server • Enabling a 12,7% total cost saving– 3.6 times more efficient with Erlang base SIP proxy • Enabling a 10% total cost saving– 2.9 times mote efficient with the SPECweb2005 • Enabling a 9% total cost saving 13.12.2011 Åbo Akademi University - Department of Information Technologies 13
  • 14. Questions ?13.12.2011 Åbo Akademi University - Department of Information Technologies 14

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