CSE 591: Energy-Efficient Computing Lecture 4 SLEEP: full-system Anshul Gandhi 347, CS building

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CSE 591: Energy-Efficient Computing Lecture 4 SLEEP: full-system Anshul Gandhi 347, CS building

power_nap paper

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

What does 30% utilization mean?

Utilization data

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

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

(Potential) Implementation

RAILS

agile paper

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

agile: main problem

agile: low-power states Turbo C0P statesT states C1 C1E C2 C3 S0C6 S1 S2 S3 G0S4 G2S5 G3

agile: power vs. latency

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