Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Detecting Anomalous Energy Consumption in Android Applications

  • Conference paper
Programming Languages (SBLP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8771))

Included in the following conference series:

Abstract

The use of powerful mobile devices, like smartphones, tablets and laptops, is changing the way programmers develop software. While in the past the primary goal to optimize software was the run time optimization, nowadays there is a growing awareness of the need to reduce energy consumption.

This paper presents a technique and a tool to detect anomalous energy consumption in Android applications, and to relate it directly with the source code of the application.

We propose a dynamically calibrated model for energy consumption for the Android ecosystem that supports different devices. The model is used as an API to monitor the application execution: first, we instrument the application source code so that we can relate energy consumption to the application source code; second, we use a statistical approach, based on fault-localization techniques, to localize abnormal energy consumption in the source code.

This work is integrated in the project GreenSSCM - Green Software for Space Missions Control, a project financed by the Innovation Agency, SA, Northern Regional Operational Programme, Financial Incentive Grant Agreement under the Incentive Research and Development System, Project No. 38973. The last author is supported by CAPES through a Programa Professor Visitante do Exterior (PVE) grant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jones, N.D.: An introduction to partial evaluation. ACM Comput. Surv. 28(3), 480–503 (1996)

    Article  Google Scholar 

  2. Acar, U.A., Blelloch, G.E., Harper, R.: Adaptive functional programming. ACM Trans. Program. Lang. Syst. 28(6), 990–1034 (2006)

    Article  Google Scholar 

  3. Krall, A.: Efficient javavm just-in-time compilation. In: International Conference on Parallel Architectures and Compilation Techniques, pp. 205–212 (1998)

    Google Scholar 

  4. Wadler, P.: Deforestation: transforming programs to eliminate trees. Theoretical Computer Science 73, 231–248 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  5. Saraiva, J., Swierstra, D.: Data Structure Free Compilation. In: Jähnichen, S. (ed.) CC 1999. LNCS, vol. 1575, pp. 1–17. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  6. Fernandes, J.P., Saraiva, J., Seidel, D., Voigtländer, J.: Strictification of circular programs. In: Proceedings of the 20th ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, PEPM 2011, pp. 131–140. ACM (2011)

    Google Scholar 

  7. Pinto, G., Castor, F., Liu, Y.D.: Mining questions about software energy consumption. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 22–31. ACM, New York (2014)

    Chapter  Google Scholar 

  8. Carção, T.: Measuring and visualizing energy consumption within software code. In: Proceedings of the 2014 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC. IEEE (to appear, 2014)

    Google Scholar 

  9. Zhang, L., Tiwana, B., Qian, Z., Wang, Z., Dick, R.P., Mao, Z.M., Yang, L.: Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. In: Proc. Int. Conf. Hardware/Software Codesign and System Synthesis (October 2010)

    Google Scholar 

  10. Dong, M., Zhong, L.: Self-Constructive High-Rate System Energy Modeling for Battery-Powered Mobile Systems. In: Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, MobiSys 2011 (2011)

    Google Scholar 

  11. Kjaergaard, M.B., Blunck, H.: Unsupervised Power Profiling for Mobile Devices. In: 8th International ICST Conference, Copenhagen, Denmark (December 2011)

    Google Scholar 

  12. Yoon, C., Kim, D., Jung, W., Kang, C., Cha, H.: AppScope: Application Energy Metering Framework for Android Smartphones using Kernel Activity Monitoring. In: USENIX Annual Technical Conference (USENIX ATC 2012) (June 2012)

    Google Scholar 

  13. Jung, W., Kang, C., Yoon, C., Kim, D., Cha, H.: DevScope: A Nonintrusive and Online Power Analysis Tool for Smartphone Hardware Components. In: International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2012) (October 2012)

    Google Scholar 

  14. Runciman, C., Röjemo, N.: Heap Profiling for Space Efficiency. In: Launchbury, J., Sheard, T., Meijer, E. (eds.) AFP 1996. LNCS, vol. 1129, pp. 159–183. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  15. Machado, P., Campos, J., Abreu, R.: MZoltar: Automatic Debugging of Android Applications. In: First International Workshop on Software Development Lifecycle for Mobile (DeMobile), Co-located with European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE), Saint Petersburg, Russia (2013)

    Google Scholar 

  16. Jung, W., Kim, K., Cha, H.: UserScope: A Fine-grained Framework for Collecting Energy-related Smartphone User Contexts. In: IEEE International Conference on Parallel and Distributed Systems (ICPADS 2013) (December 2013)

    Google Scholar 

  17. Kim, D., Jung, W., Cha, H.: Runtime Power Estimation of Mobile AMOLED Displays. In: Design, Automation & Test Europe (DATE 2013) (March 2013)

    Google Scholar 

  18. Carroll, A., Heiser, G.: An Analysis of Power Consumption in a Smartphone. In: USENIXATC 2010 Proceedings of the 2010 USENIX Conference on USENIX Annual Technical Conference (2010)

    Google Scholar 

  19. Zhang, L., Gordon, M.S., Dick, R.P., Mao, Z.M., Dinda, P., Yang, L.: ADEL: An Automatic Detector of Energy Leaks for Smartphone Applications. In: IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (2012)

    Google Scholar 

  20. Ding, F., Xia, F., Zhang, W., Zhao, X., Ma, C.: Monitoring Energy Consumption of Smartphones. In: Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing (October 2012)

    Google Scholar 

  21. Corral, L., Georgiev, A.B., Sillitti, A., Succi, G.: Method Reallocation to Reduce Energy Consumption: An implementation in Android OS. In: Symposium on Applied Computing 2014 (2014)

    Google Scholar 

  22. Noureddine, A., Rouvoy, R., Seinturier, L.: Unit Testing of Energy Consumption of Software Libraries. In: Symposium on Applied Computing 2014 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. HASLab, INESC TEC, Universidade do Minho, Portugal

    Marco Couto, Tiago Carção, Jácome Cunha, João Paulo Fernandes & João Saraiva

  2. CIICESI, ESTGF, Instituto Politécnico do Porto, Portugal

    Marco Couto, Tiago Carção, Jácome Cunha, João Paulo Fernandes & João Saraiva

  3. RELEASE, Universidade da Beira Interior, Portugal

    Marco Couto, Tiago Carção, Jácome Cunha, João Paulo Fernandes & João Saraiva

Authors
  1. Marco Couto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tiago Carção
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jácome Cunha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. João Paulo Fernandes
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. João Saraiva
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Ciência da Computação, Federal University of Minas Gerais, Av. Antônio Carlos, 6627 31.270-010,, Belo Horizonte, MG, Brazil

    Fernando Magno Quintão Pereira

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Couto, M., Carção, T., Cunha, J., Fernandes, J.P., Saraiva, J. (2014). Detecting Anomalous Energy Consumption in Android Applications. In: Quintão Pereira, F.M. (eds) Programming Languages. SBLP 2014. Lecture Notes in Computer Science, vol 8771. Springer, Cham. https://doi.org/10.1007/978-3-319-11863-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11863-5_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11862-8

  • Online ISBN: 978-3-319-11863-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation