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Optimizing display energy consumption for hybrid Android apps (invited talk)

Published:31 August 2015Publication History

ABSTRACT

Energy has emerged as an important quality metric for apps that run on mobile platforms. This talk describes our approach for reducing display energy by automatically changing the color schemes used by a web app so that the pages consume less energy when displayed on an OLED based smartphone.

References

  1. M. Dong and L. Zhong. Chameleon: A Color-adaptive Web Browser for Mobile OLED Displays. In MobiSys, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  3. S. Hao, D. Li, W. G. J. Halfond, and R. Govindan. Estimating android applications’ cpu energy usage via bytecode profiling. In Proceedings of the First International Workshop on Green and Sustainable Software (GREENS), pages 1–7, May 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  7. D. Li, S. Hao, J. Gui, and W. G. Halfond. An empirical study of the energy consumption of android applications. In Proceedings of the International Conference on Software Maintenance and Evolution (ICSME), September 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  9. D. Li, A. H. Tran, and W. G. J. Halfond. Making Web Applications More Energy Efficient for OLED Smartphones. In Proceedings of the International Conference on Software Engineering (ICSE), June 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. D. Li, A. H. Tran, and W. G. J. Halfond. Nyx: A display energy optimizer for mobile web apps. In Proceedings of the 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) – Tool Track, September 2015. To Appear. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      DeMobile 2015: Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile
      August 2015
      36 pages
      ISBN:9781450338158
      DOI:10.1145/2804345

      Copyright © 2015 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 31 August 2015

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