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Unified Thermal and Power Management in Server Enclosures



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Unified Thermal and Power Management in Server Enclosures Niraj Tolia Zhikui Wang Manish Marwah Cullen Bash Parthasarathy Ranganathan Xiaoyun Zhu Now at VMware 2009 Hewlett Packard Development Company L P The information contained herein is subject to change without notice 2005 26 5 Billion The cost of power and cooling is likely to exceed that of hardware Luiz Barosso Google In the data center power and cooling costs more than the IT equipment it supports Christian L Belady Microsoft former HP Zephyr Unified Power and Cooling Management Contributions Demonstrate how to do per blade cooling Save both cooling 21 30 system power Without impacting performance 23 29 Blade Servers Compact Design Dense Compute and Storage Workloads are Virtualized Blade Servers Compact Design Dense Compute and Storage Workloads are Virtualized Virtualization Web Server OS Hardware Virtualization Virtual Machine WebServer OS VM Monitor Hardware Virtualization Virtual Machine Virtual Machine WebServer OS App Server OS VM Monitor Hardware OS VM Monitor Hardware Virtualization OS VM Monitor Hardware Virtual Machine Virtual Machine WebServer OS App Server OS VM Monitor Hardware Virtualization OS VM Monitor Hardware Virtual Machine Virtual Machine WebServer OS App Server OS VM Monitor Hardware Models Min Power Tref Utilref Zephyr Fan Speed CPU P states VM Migr Blade On Off Blade Enclosure Power Models Temperature Models Power Util Temp Power Model Single Blade 250 Power W 200 150 100 Power Power Power Power 50 0 0 20 40 60 Utilization P0 P4 Model P0 Model P4 80 100 Power Model Single Fan 200 Measured Fan Power Fan Power Model Power W 150 100 50 0 0 6000 12000 Speed RPM 18000 Unfortunately temperature models are significantly more complex Models don t exists Many things affect temperature Insufficient sensors in servers Zonal Variations Blade No Zonal Variation Fan Influence 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 Fan No 7 8 9 10 Temperature Models Steady State Model Assumes workloads



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