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Power Measurement of Data Center Equipment

Power Measurement of Data Center Equipment. Impact Lab. Power Characterization Requirement for Data Centers. Thermal-aware Job Scheduling On-line job scheduling algorithm to minimize peak air inlet temperature Minimize cooling requirement. Reduce Operational Cost. Data Center Thermal Models

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Power Measurement of Data Center Equipment

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  1. Power Measurement of Data Center Equipment Impact Lab

  2. Power Characterization Requirement for Data Centers Thermal-aware Job Scheduling • On-line job scheduling algorithm to minimize peak air inlet temperature • Minimize cooling requirement. • Reduce Operational Cost Data Center Thermal Models • To enable on-line real-time thermal-aware job scheduling • Fast (analytical, non CFD based) • Non-invasive (machine-learning) Power Characterization • Characterize the power consumption of a given workload (CPU, memory, disk etc) on a given equipment

  3. Outline • Instrumentation • Methodology • Equipment • Results

  4. Instrumentation On-site Set-up Remote Power Meter Reading Chassis NETWORK DualCom Power Meter SNMP Control Power Supply (208 V)

  5. Equipment Power Consumption Power Supply Blade Server Power Empty Chassis Power Memory Power Hard Disk Power CPU Power

  6. Applications • Gamut Benchmark • with different CPU Utilization & Disk I/O • Other Computing Applications • Matrix Multiplication • Convolution • Digital Image Filtering-5x5 matrix filter algorithm • with different input size • Fits Cache (Compute Intensive) • Fits Memory (Memory Intensive) • Virtual Page File Utilization (Disk Thrashing)

  7. Equipment Details

  8. Single Server in Chassis

  9. Full Chassis

  10. Matrix Multiplication

  11. Convolution

  12. Digital Image Filtering

  13. Conclusions • Linear variation of Power Consumption with CPU utilization. • Little (or no) effect on Power Consumption with Disk I/O and memory utilization. • Comparison with other measurements • performed by Standard Performance Evaluation Corporation (SPEC) • Equipment: Dell PowerEdge 1955 • Application: standard SPECjbb2005 benchmark • Similarities: Linear Variation with CPU Utilization • Discrepancies: Difference in Measured Power Values

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