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

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...

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Main Authors:	Ahmad, R.W., Gani, A., Hamid, S.H.A., Xia, F., Shiraz, M.
Format:	Article
Published:	2015
Subjects:	T Technology (General)
Online Access:	DOI: 10.1016/j.jnca.2015.09.002 Published: DEC 2015 DOI: 10.1016/j.jnca.2015.09.002 Published: DEC 2015

id	um-16284
recordtype	eprints
spelling	um-162842016-08-16T08:55:02Z A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues Ahmad, R.W. Gani, A. Hamid, S.H.A. Xia, F. Shiraz, M. T Technology (General) 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. 2015 Article PeerReviewed DOI: 10.1016/j.jnca.2015.09.002 Published: DEC 2015 Ahmad, R.W.; Gani, A.; Hamid, S.H.A.; Xia, F.; Shiraz, M. (2015) A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues. Journal of Network and Computer Applications <http://eprints.um.edu.my/view/publication/Journal_of_Network_and_Computer_Applications_.html>, 58. pp. 42-59. ISSN 1084-8045 http://eprints.um.edu.my/16284/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	T Technology (General)
spellingShingle	T Technology (General) Ahmad, R.W. Gani, A. Hamid, S.H.A. Xia, F. Shiraz, M. A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
description	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.
format	Article
author	Ahmad, R.W. Gani, A. Hamid, S.H.A. Xia, F. Shiraz, M.
author_facet	Ahmad, R.W. Gani, A. Hamid, S.H.A. Xia, F. Shiraz, M.
author_sort	Ahmad, R.W.
title	A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
title_short	A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
title_full	A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
title_fullStr	A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
title_full_unstemmed	A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues
title_sort	review on mobile application energy profiling: taxonomy, state-of-the-art, and open research issues
publishDate	2015
url	DOI: 10.1016/j.jnca.2015.09.002 Published: DEC 2015 DOI: 10.1016/j.jnca.2015.09.002 Published: DEC 2015
first_indexed	2018-09-06T06:36:18Z
last_indexed	2018-09-06T06:36:18Z
_version_	1610838996227719168

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

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