research-article

A black box technique to reduce energy consumption of Android apps

Authors:

Abdul Ali Bangash,

Abram HindleAuthors Info & Claims

ICSE-NIER '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results

Pages 1 - 5

https://doi.org/10.1145/3510455.3512795

Published: 17 October 2022 Publication History

Abstract

Android byte-code transformations are used to optimize applications (apps) in terms of run-time performance and size. But do they affect the energy consumption during this process? If they do, can we employ them to reduce an app's energy consumption? Given that most existing energy optimization techniques require developers to modify their code, a byte-code level modification technique will save developers' time and effort. In this paper, we investigate if byte-code transformations combined with genetic search can reduce an app's energy consumption. After applying our technique on four real-world apps, we find that some combinations of the byte-code transformations reduce the energy consumption by up to 11%.

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Cited By

Mousavirad SAlexandre L(2023)Energy-aware JPEG image compressionApplied Soft Computing10.1016/j.asoc.2023.110278141:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110278
Rua RSaraiva J(2023)A large-scale empirical study on mobile performance: energy, run-time and memoryEmpirical Software Engineering10.1007/s10664-023-10391-y29:1Online publication date: 27-Dec-2023
https://dl.acm.org/doi/10.1007/s10664-023-10391-y

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cover image ACM Conferences

ICSE-NIER '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results

May 2022

143 pages

ISBN:9781450392242

DOI:10.1145/3510455

Conference Chairs:
Liliana Pasquale
University College Dublin and Lero, Ireland
,
Christoph Treude
University of Melbourne, Australia

Copyright © 2022 ACM.

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Published: 17 October 2022

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Cited By

Mousavirad SAlexandre L(2023)Energy-aware JPEG image compressionApplied Soft Computing10.1016/j.asoc.2023.110278141:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110278
Rua RSaraiva J(2023)A large-scale empirical study on mobile performance: energy, run-time and memoryEmpirical Software Engineering10.1007/s10664-023-10391-y29:1Online publication date: 27-Dec-2023
https://dl.acm.org/doi/10.1007/s10664-023-10391-y

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