30.09.20 13 Energy and heat-aware metrics for data centers Jaume Salom, Laura Sisó IREC - Catalonia Institute for Energy Research Ariel Oleksiak, Mateusz Jarus PSNC – Poznan Supercomputing and Networking Center Thomas Zilio IRIT – Institut de Recherche en Informatique de Toulouse 30 September 2013 1
21
Embed
30.09.2013 Energy and heat-aware metrics for data centers Jaume Salom, Laura Sisó IREC - Catalonia Institute for Energy Research Ariel Oleksiak, Mateusz.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
30.09.2013 1
Energy and heat-aware metrics for data centers
Jaume Salom, Laura SisóIREC - Catalonia Institute for Energy Research
Ariel Oleksiak, Mateusz JarusPSNC – Poznan Supercomputing and Networking Center
Thomas ZilioIRIT – Institut de Recherche en Informatique de Toulouse
30 September 2013
30.09.2013 2
Introduction
• CoolEmAll will provide tools for planners and operators of DC to carry out flexible and fast simulations to improve energy efficiency and to reduce the carbon footprint associated
• Metrics suitable to quantify CoolEmAll improvement in energy efficiency
EuroEcoDC Workshop - Karlsruhe
30.09.2013 3EuroEcoDC Workshop - Karlsruhe
Contents
1. Present status of DC metrics2. Properties of CoolEmAll metrics3. New metrics proposed4. Description of experiment5. Check Imbalance of Temperature6. Further steps: other metrics to test7. Conclusions
30.09.2013 4EuroEcoDC Workshop - Karlsruhe
Present status of DC metrics• Metrics related to power for complete DC– PUE– Global KPI
• Metrics that consider energy reuse, carbon emissions or water use:– ERE,CUE,WUE
• Metrics to consider the power required in idle conditions– FVER
• Metrics for IT Components: – Power Usage, resource/Watt
30.09.2013 5EuroEcoDC Workshop - Karlsruhe
Properties of CoolEmAll metrics• Focus on Energy not only on peak-power• Focus on Temperature not only on
Power• Heat-aware metrics• Focus on Useful Work on Applications
not only on IT Consumption• Selection of useful and consistent
metrics to assess different granularity levels of a DC (CPU, rack, room)
• Holistic approach
30.09.2013 6EuroEcoDC Workshop - Karlsruhe
Properties of CoolEmAll metrics
• Granularity:– Node unit– Node group– Rack level– Room of a DC