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Dynamic frequency scaling on android platforms for energy consumption reduction

Published: 03 November 2013 Publication History

Abstract

Dynamic Voltage and Frequency Scaling (DVFS) is an efficient energy saving technique for processing units. This paper evaluates the impact of the DVFS on the energy consumption, when it is applied to adjust the operational frequency of an Android based smartphone during common mobile activities, such as 3G and Wi-Fi communications. An experimental infrastructure was defined to carry out energy measurements, using a simulated environment and a Samsung Galaxy SII smartphone. After defining the best operational frequency for each activity, we identified the amount of energy that could be saved if the smartphone was using an optimized strategy to adjust the frequency. Results of the proposed approach were compared to the performance mode of this smartphone and an average energy reduction of about 23.4% was obtained.

References

[1]
W. Liang and P. Lai. "Design and Implementation of a Critical Speed-based DVFS Mechanism for the Android Operating System". In: International Conference on Embedded and Multimedia Computing (EMC), pp. 1--6, 2010.
[2]
http://venturebeat.com/2012/03/29/the-magic-moment-smartphones-now-half-of-all-u-s-mobiles/.
[3]
Technology Research. Gartner Inc. Available in: http://www.gartner.com. Accessed in: 28/06/2012.
[4]
R. Jejurikar and R.K. Gupta, "Dynamic Voltage Scaling for System wide Energy Minimization in Real-Time Embedded Systems", Proceedings of the International Conference on low power electronics and Design, 2004, pp. 78--81.
[5]
Wen-Yew Liang and Po-Ting Lai, "Design and Implementation of a critical speed-based DVFS mechanism for the android operating system", 5th International Conference in Embedded and Multimedia Computing, 11--13 Aug. 2010.
[6]
K. Choi, R. Soma, and M. Pedram, "Dynamic Voltage and Frequency Scaling based on Workload Decomposition," in Proc. 2004 Int. Symp. Low Power Electronics and Design, Aug. 2004, pp. 174--179.
[7]
Intel XScale® Technology Overview, {online}. Available at http://www.intel.com/design/intelxscale/.
[8]
Khan, J., Bilavarn, S. and Belleudy, C., "Energy Analysis of a DVFS based power strategy on ARM platforms", 2012 IEEE Faible Tesion Faible Consommantion (FTFC), 2012.
[9]
Bhatti, M.K., Belleudy, C. and Auguin, M., "An Inter-task Real-time DVFS Scheme for Multiprocessor Embedded Systems", 2010 Conference on Design and Architectures for Signal and Image Processing (DASIP).
[10]
Aridam Mallik, Bin Lin, Gikhan Memik, Peter Dinda and Robert P. Dick, "User-Driven Frequency Scaling", Computer Architecture Letters, vol. 5, issue 2, July-December 2006.
[11]
Pallipadi V. e Starikovskiy A., "The Ondemand Governor", 2006 Linux Symposium, Volume Two, pp. 216--230.
[12]
CPUmaster, an application to change the frequency scaling on rooted smartphones: https://play.google.com/store/apps/details?id=com.antutu.CpuMasterFree.

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  • (2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
  • (2020)Energy-Efficient Computation Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data PartitioningIEEE Transactions on Wireless Communications10.1109/TWC.2020.300761619:10(6977-6991)Online publication date: Oct-2020
  • (2020)An Application-Specific Approach to Energy Optimization on Android Mobile DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2019.291419719:7(1492-1505)Online publication date: 1-Jul-2020
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      cover image ACM Conferences
      PM2HW2N '13: Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
      November 2013
      226 pages
      ISBN:9781450323710
      DOI:10.1145/2512840
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 November 2013

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      Author Tags

      1. android
      2. dvfs
      3. embedded systems
      4. energy-aware design
      5. operating system

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      PM2HW2N '13 Paper Acceptance Rate 30 of 115 submissions, 26%;
      Overall Acceptance Rate 74 of 226 submissions, 33%

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      Cited By

      View all
      • (2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
      • (2020)Energy-Efficient Computation Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data PartitioningIEEE Transactions on Wireless Communications10.1109/TWC.2020.300761619:10(6977-6991)Online publication date: Oct-2020
      • (2020)An Application-Specific Approach to Energy Optimization on Android Mobile DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2019.291419719:7(1492-1505)Online publication date: 1-Jul-2020
      • (2019)PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)10.1109/RTAS.2019.00013(54-64)Online publication date: Apr-2019
      • (2019)User Driven Dynamic Frequency Scaling for Power-Aware Mobile Cloud Terminals2019 11th International Conference on Communication Systems & Networks (COMSNETS)10.1109/COMSNETS.2019.8711477(298-305)Online publication date: Jan-2019
      • (2018)Energy Management of Applications With Varying Resource Usage on SmartphonesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285732337:11(2416-2427)Online publication date: Nov-2018
      • (2017)Energy Optimization With Dynamic Task Scheduling Mobile Cloud ComputingIEEE Systems Journal10.1109/JSYST.2015.244299411:1(96-105)Online publication date: Mar-2017
      • (2017)SceneMan: Bridging mobile apps with system energy manager via scenario notification2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)10.1109/ISLPED.2017.8009209(1-6)Online publication date: Jul-2017
      • (2017)Application-Specific Performance-Aware Energy Optimization on Android Mobile Devices2017 IEEE International Symposium on High Performance Computer Architecture (HPCA)10.1109/HPCA.2017.32(169-180)Online publication date: Feb-2017
      • (2016)Smart-phone battery-life short-fall in disaster response: Quantifying the gap2016 IEEE Global Humanitarian Technology Conference (GHTC)10.1109/GHTC.2016.7857284(220-225)Online publication date: Oct-2016
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