A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues

Ahmad, Raja Wasim and Gani, Abdullah and Ab Hamid, Siti Hafizah and Xia, Feng and Shiraz, Muhammad (2015) A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues. Journal of Network and Computer Applications, 58. pp. 42-59. ISSN 1084-8045

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Official URL: https://doi.org/10.1016/j.jnca.2015.09.002

Abstract

The shift of the information access paradigm to a mobile platform motivates research in mobile application energy profiling to augment device battery lifetime. Energy profiling schemes estimate mobile application power consumption when it is executed on resource-constrained mobile devices. Accurate power estimation helps identify rogue applications to optimize mobile battery power usage. The lack of a comprehensive survey on mobile application energy profiling schemes that covers various energy profiling aspects, such as profiling granularity, types, measurement resources, and model flexibility, has motivated us to review the existing literature comprehensively. Application energy profiling schemes exploit either hardware-equipment or software-based solutions to track battery-draining behavior during application execution in mobile devices. This study comprehensively reviews state-of-the-art mobile application energy profiling schemes to investigate the strengths and weaknesses of existing schemes. We propose a detailed thematic taxonomy based on the extensive literature review on mobile application energy profiling to classify the existing literature. The critical aspects and related features of existing energy profiling schemes are examined through an exhaustive qualitative analysis. The significant parameters from the reported literature are also extracted to investigate commonalities and differences among existing schemes. Finally, several research issues in mobile application energy profiling are put forward that should be addressed to increase energy profiling strength. (C) 2015 Elsevier Ltd. All rights reserved.

Item Type: Article
Uncontrolled Keywords: Energy profiling; Rich mobile applications; Context-aware; Energy estimation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mrs. Siti Mawarni Salim
Date Deposited: 23 Aug 2016 08:43
Last Modified: 12 Oct 2018 02:09
URI: http://eprints.um.edu.my/id/eprint/16298

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