Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning (Poster ID T8)
G. Tesauro, R. Das, H. Chan, J. Kephart, C. Lefurgy, D. Levine, F. Rawson: IBM Research

Managing power consumption is a major issue in data centers Major new application domain for RL: we learn policy for dynamic control of HTTP CPU clock speed trading application Req. performance vs. consumed power We employ a realistic test-bed We demonstrate utility gain over hand-designed policies & HTTP obvious RL implementations Wkld. Utility Power (watts) Perf. (msec)

C P U Frequency Controller
IBM Blade IBM Blade IBM Blade

RL

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Time (x5 sec)

4K