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@inproceedings{Chis:2016:10.1145/2988287.2989140,
author = {Chis, TS and Harrison, PG},
doi = {10.1145/2988287.2989140},
pages = {127--135},
title = {Performance-energy trade-offs in smartphones},
url = {http://dx.doi.org/10.1145/2988287.2989140},
year = {2016}
}

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TY  - CPAPER
AB  - © 2016 ACM. In the literature, numerous works have modeled user activity on smartphones and the effects on battery life. Power-saving modes prolong battery life by saving energy, but application performance is limited as a result. We investigate performance-energy trade-ofs of smartphone applications by investigating three strategies: first, we propose an M/M/1 discriminatory processor sharing queue to act as a smartphone server and measure delays of Android applications; secondly, we form a performance-energy trade-of that takes into account cellular radio transfers using an objective cost function incorporating mean delay and power consumption; and thirdly, we build an online HMM to act as a power consumption model that predicts battery life given recent data transfers. For all three strategies we obtain logged smartphone activity of over 750 users via an open-source smartphone data-collection application. Hence, we obtain three hypotheses from our strategies: first, delay of applications is approximated well using the beta prime distribution; secondly, power consumption increases as mean delay decreases with battery life prolonged if adjustments are made to cellular radio usage; and thirdly, burstiness is captured by HMMs in both data transfers and rates of power consumption.
AU  - Chis,TS
AU  - Harrison,PG
DO  - 10.1145/2988287.2989140
EP  - 135
PY  - 2016///
SP  - 127
TI  - Performance-energy trade-offs in smartphones
UR  - http://dx.doi.org/10.1145/2988287.2989140
ER  -

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