Abstract
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% -*- root: ../main.tex -*-
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% -*- root: ../main.tex -*-
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%!TEX root=../main.tex
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Abstract here.
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CPU frequency scaling is a critical component of power management on modern mobile phones, as a CPUs can (if not managed properly) represent a significant source of power consumption on the phone.
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On Android, a configurable policy (called the governor) dictates the CPU's frequency, and how it trades off performance for energy savings.
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Android's existing governors rely on recent CPU usage patterns to make this trade-off: The longer a CPU is active, the faster the governor sets the CPU's frequency.
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In this paper, we demonstrate that this assumption is flawed: the lower range of frequency settings on a typical mobile CPU does not actually save energy.
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As speeds drop below a (hardware-specific) frequency that we term $\fenergy$, the energy cost of each CPU cycle grows, and it is usually more energy-efficient to complete the work faster and turn the core off.
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We further document a class of \emph{adaptive apps} that adjust their computational requirements to available CPU capacity.
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We show how adaptive apps present a misleading signal to existing governors, driving the selection of high, energy-inefficient frequencies without necessarily providing user-perceptible benefits in exchange.
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We present a range of governors, adapting the Android-default \schedutil, to incorporate an increasing range of these observations.
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Our final governor, \systemname, avoids any sort of inference by leveraging already extant performance hints that are used by Android to request performance boosts from \schedutil.
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We show that this governor, in addition to being considerably simpler than \schedutil, can both improve performance and reduce energy consumption on a typical Android phone.
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