A taxonomy of computation offloading in mobile cloud computing
The ability of cloud computing to provide almost unlimited storage, backup and recovery, and quick deployment contributes to its widespread attention and implementation. Cloud computing has also become an attractive choice for mobile users as well. Due to limited features of mobile devices such as p...
Published in: | Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014 |
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IEEE Computer Society
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903827182&doi=10.1109%2fMobileCloud.2014.16&partnerID=40&md5=916a06d3745b596e6145b8f11ded3b73 |
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2-s2.0-84903827182 Enzai N.I.M.; Tang M. A taxonomy of computation offloading in mobile cloud computing 2014 Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014 10.1109/MobileCloud.2014.16 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903827182&doi=10.1109%2fMobileCloud.2014.16&partnerID=40&md5=916a06d3745b596e6145b8f11ded3b73 The ability of cloud computing to provide almost unlimited storage, backup and recovery, and quick deployment contributes to its widespread attention and implementation. Cloud computing has also become an attractive choice for mobile users as well. Due to limited features of mobile devices such as power scarcity and inability to cater computation intensive tasks, selected computation needs to be outsourced to the resourceful cloud servers. However, there are many challenges which need to be addressed in computation offloading for mobile cloud computing such as communication cost, connectivity maintenance and incurred latency. This paper presents taxonomy of the computation offloading approaches which aim to address the challenges. The taxonomy provides guidelines to identify research scopes in computation offloading for mobile cloud computing. We also outline directions and anticipated trends for future research. © 2014 IEEE. IEEE Computer Society English Conference paper All Open Access; Green Open Access |
author |
Enzai N.I.M.; Tang M. |
spellingShingle |
Enzai N.I.M.; Tang M. A taxonomy of computation offloading in mobile cloud computing |
author_facet |
Enzai N.I.M.; Tang M. |
author_sort |
Enzai N.I.M.; Tang M. |
title |
A taxonomy of computation offloading in mobile cloud computing |
title_short |
A taxonomy of computation offloading in mobile cloud computing |
title_full |
A taxonomy of computation offloading in mobile cloud computing |
title_fullStr |
A taxonomy of computation offloading in mobile cloud computing |
title_full_unstemmed |
A taxonomy of computation offloading in mobile cloud computing |
title_sort |
A taxonomy of computation offloading in mobile cloud computing |
publishDate |
2014 |
container_title |
Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014 |
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container_issue |
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doi_str_mv |
10.1109/MobileCloud.2014.16 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903827182&doi=10.1109%2fMobileCloud.2014.16&partnerID=40&md5=916a06d3745b596e6145b8f11ded3b73 |
description |
The ability of cloud computing to provide almost unlimited storage, backup and recovery, and quick deployment contributes to its widespread attention and implementation. Cloud computing has also become an attractive choice for mobile users as well. Due to limited features of mobile devices such as power scarcity and inability to cater computation intensive tasks, selected computation needs to be outsourced to the resourceful cloud servers. However, there are many challenges which need to be addressed in computation offloading for mobile cloud computing such as communication cost, connectivity maintenance and incurred latency. This paper presents taxonomy of the computation offloading approaches which aim to address the challenges. The taxonomy provides guidelines to identify research scopes in computation offloading for mobile cloud computing. We also outline directions and anticipated trends for future research. © 2014 IEEE. |
publisher |
IEEE Computer Society |
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language |
English |
format |
Conference paper |
accesstype |
All Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778510374338560 |