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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Md Enzai, N.I. Maolin Tang |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia (Md Enzai, N.I.; Maolin Tang) |
| Abstract | 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. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 19 |
| Ending Page | 28 |
| File Size | 277159 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781479944255 |
| DOI | 10.1109/MobileCloud.2014.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-08 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Energy consumption Computational modeling Bandwidth Mobile communication Mobile handsets Offloading Servers Mobile |
| Content Type | Text |
| Resource Type | Article |
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