1. CSE 691: Energy-Efficient Computing Lecture 3 SLEEP: full-system Anshul Gandhi 1307, CS building anshul@cs.stonybrook.edu

2. Number of servers worldwide: Google: 1-2% 2013: Google:> 1M servers Microsoft:~1M servers Amazon:<1M servers Tencent:+700K servers!

3. power_nap paper

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

6. What does 30% utilization mean?

7. Utilization data

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

9. 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

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 C0P statesT states C1 C1E C2 C3 S0C6 S1 S2 S3 G0S4 G2S5 G3

14. agile: power vs. latency

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