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Detecting no-sleep energy bugs using reference counted variables

Published:27 May 2018Publication History

ABSTRACT

Mobile devices have become pervasive in today's society. The range of their use has been constantly increasing, which requires more computing capability. As the computing capability of mobile devices grow, so does the need for effective power management. There has been some work on reducing the power consumption of mobile applications by detecting energy bugs. In this work, we address no-sleep energy bugs with respect to semaphore wakelocks in consideration of race conditions with synchronization using reaching definitions and parallel flow graphs. We demonstrate the approach through a case example.

References

  1. S. Agarwal, R. Mahajan, A. Zheng, and V. Bahl. 2010. There's an app for that, but it doesn't work. Diagnosing Mobile Applications in the Wild. In Proceedings of the 9th ACM Workshop on Hot Topics in Networks. Monterey, CA, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. Grunwald and H. Srinivasan. 1993. Data Flow Equations for Explicitly Parallel Programs. In Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. New York, NY, 159--168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Ljung. 2011. Opportunities for Energy Savings in Mobile Devices. In Proceedings of the 22nd IEEE International Symposium on Personal Indoor and Mobile Radio Communications. Toronto, Canada, 2394--2401.Google ScholarGoogle ScholarCross RefCross Ref
  4. A. Min, R. Wang, J. Tsai, M. Ergin, and T. Tai. 2012. Improving Energy Efficiency for Mobile Platforms by Exploiting Low-Power Sleep States. In Proceedings of the 9th conference on Computing Frontiers. New York, NY, 133--142. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Pathak, Y. C. Hu, and M. Zhang. 2011. Bootstrapping Energy Debugging for Smartphones: A First Look at Energy Bugs in Mobile Devices. In Proceedings of the 10th ACM Workshop on Hot Topics in Networks. Cambridge, MA, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. Pathak, A. Jindal, Y. C. Hu, and S. P. Midkiff. 2012. What is Keeping My Phone Awake?: Characterizing and Detecting No-Sleep Energy Bugs in Smartphone Apps. In Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services. New York, NY, 267--280. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    MOBILESoft '18: Proceedings of the 5th International Conference on Mobile Software Engineering and Systems
    May 2018
    275 pages
    ISBN:9781450357128
    DOI:10.1145/3197231

    Copyright © 2018 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 May 2018

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