Battery Efficiency of Mobile Devices through Computational Offloading: A Review

Smart Internet Devices (SIDs) particularly Smartphones are soon turned to be super computers, while the restricted battery timing is a focused issue which hinders the steady meeting expectations yield of these devices. In addition, various sensors, high resolution LCDs, wireless interfaces, GPS and...

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Main Authors: Ali, Mushtaq, Jasni, Mohamad Zain, Mohamad Fadli, Zolkipli, Gran, Badshah
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/11952/7/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review-abstract.pdf
http://umpir.ump.edu.my/id/eprint/11952/1/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review.pdf
http://umpir.ump.edu.my/id/eprint/11952/
http://dx.doi.org/10.1109/SCORED.2015.7449347
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Institution: Universiti Malaysia Pahang
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spelling my.ump.umpir.119522018-05-21T01:45:32Z http://umpir.ump.edu.my/id/eprint/11952/ Battery Efficiency of Mobile Devices through Computational Offloading: A Review Ali, Mushtaq Jasni, Mohamad Zain Mohamad Fadli, Zolkipli Gran, Badshah QA76 Computer software Smart Internet Devices (SIDs) particularly Smartphones are soon turned to be super computers, while the restricted battery timing is a focused issue which hinders the steady meeting expectations yield of these devices. In addition, various sensors, high resolution LCDs, wireless interfaces, GPS and other advanced features drain battery quickly, thus, shrinking the operational time. Subsequently, increasing battery life of SIDs has happened to dire investigation significance at hardware and programming levels, both alike. The intention of our work is to evaluate computational offloading; sending power-intensive processing to remote servers in cloud and accepting the outcome back on device’s screen. Furthermore, this paper gives a review of previous research work on computational offloading. We then summarize distinct research work with their respective findings and limitations. In addition, a short critical analysis of the review works following the summarized data. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11952/7/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review-abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11952/1/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review.pdf Ali, Mushtaq and Jasni, Mohamad Zain and Mohamad Fadli, Zolkipli and Gran, Badshah (2015) Battery Efficiency of Mobile Devices through Computational Offloading: A Review. In: IEEE Student Conference on Research and Development (SCOReD 2015), 13-14 December 2015 , Kuala Lumpur, Malaysia. pp. 317-322.. ISBN 978-1-4673-9572-4 http://dx.doi.org/10.1109/SCORED.2015.7449347
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ali, Mushtaq
Jasni, Mohamad Zain
Mohamad Fadli, Zolkipli
Gran, Badshah
Battery Efficiency of Mobile Devices through Computational Offloading: A Review
description Smart Internet Devices (SIDs) particularly Smartphones are soon turned to be super computers, while the restricted battery timing is a focused issue which hinders the steady meeting expectations yield of these devices. In addition, various sensors, high resolution LCDs, wireless interfaces, GPS and other advanced features drain battery quickly, thus, shrinking the operational time. Subsequently, increasing battery life of SIDs has happened to dire investigation significance at hardware and programming levels, both alike. The intention of our work is to evaluate computational offloading; sending power-intensive processing to remote servers in cloud and accepting the outcome back on device’s screen. Furthermore, this paper gives a review of previous research work on computational offloading. We then summarize distinct research work with their respective findings and limitations. In addition, a short critical analysis of the review works following the summarized data.
format Conference or Workshop Item
author Ali, Mushtaq
Jasni, Mohamad Zain
Mohamad Fadli, Zolkipli
Gran, Badshah
author_facet Ali, Mushtaq
Jasni, Mohamad Zain
Mohamad Fadli, Zolkipli
Gran, Badshah
author_sort Ali, Mushtaq
title Battery Efficiency of Mobile Devices through Computational Offloading: A Review
title_short Battery Efficiency of Mobile Devices through Computational Offloading: A Review
title_full Battery Efficiency of Mobile Devices through Computational Offloading: A Review
title_fullStr Battery Efficiency of Mobile Devices through Computational Offloading: A Review
title_full_unstemmed Battery Efficiency of Mobile Devices through Computational Offloading: A Review
title_sort battery efficiency of mobile devices through computational offloading: a review
publisher IEEE
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11952/7/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review-abstract.pdf
http://umpir.ump.edu.my/id/eprint/11952/1/Battery%20Efficiency%20of%20Mobile%20Devices%20through%20Computational%20Offloading-%20A%20Review.pdf
http://umpir.ump.edu.my/id/eprint/11952/
http://dx.doi.org/10.1109/SCORED.2015.7449347
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