Energy-Efficient Computing Strategies and Techniques

cse 591 energy efficient computing lecture n.w
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Explore the world of energy-efficient computing through techniques like consolidation, sleep states, and throttling. Dive into PowerNap, RAILS, and agile methodologies to optimize power usage while enhancing performance in data centers and beyond.

  • Energy Efficiency
  • Computing Strategies
  • Power Optimization
  • Data Centers
  • Techniques

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  1. CSE 591: Energy-Efficient Computing Lecture 4 SLEEP: full-system Anshul Gandhi 347, CS building anshul@cs.stonybrook.edu

  2. power_nap paper

  3. US data centers: 100 billion kWh by 2011 ?? $$ Server utilization: <30% Idle server power: 60% of peak Idle periods: ~seconds why important?

  4. What does 30% utilization mean?

  5. Utilization data

  6. Existing techniques 1. Consolidation 2. Sleep states 3. Throttling (DVFS)

  7. PowerNap 1. Simple idea (only 2 states) Minimize power draw in sleep Fast transitions 2. Model (power and response time) 3. PowerNap vs DVFS 4. RAILS

  8. (Potential) Implementation

  9. RAILS

  10. agile paper

  11. agile PowerNap was NOT implemented agile took first REAL step towards that Static consolidation vs Dynamic consolidation How to minimize latency penalties of dynamic consolidation? 3 ideas. agile: dynamic virtualization PowerNap implementation +

  12. agile: main problem

  13. agile: low-power states Turbo C0 P states T states C1 C1E C2 C3 S0 C6 S1 S2 S3 G0 S4 G2 S5 G3

  14. agile: power vs. latency

  15. agile: dynamic consolidation 1. Host power-up 2. VM migration 3. Host power-down

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