Power Measurement and Attribution in Kernel for Embedded System Processes
summary
Kernel-side framework develops multivariate regression model parameters by sweeping devices from idle to active and using probe measurements to solve for per-device coefficients, then attributes energy to processes using proc accounting inputs (CPU time, wakeups, bytes, memory) scaled by runtime fraction. Prototype exposes command-line API intent and reproduces examples where powertop shows 1.45 Watts for GNOME Shell, acknowledges bias–accuracy tradeoffs, temperature sensitivity, privacy risks, and reports estimated—not absolute—energy values.
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chapters (8)
- 0:00Power measurement challenges
- 7:32Energy measurement importance
- 13:56Energy attribution framework
- 18:55Model implementation challenges
- 23:37Energy and carbon footprint
- 24:59Practical applications
- 27:06Key takeaways
- 28:10Q&A
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