The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications
Abstract
Mobile cloud computing, with its promise to meet the urgent need for richer applications and services of resource-constrained mobile devices, is emerging as a new computing paradigm and has recently attracted significant attention. However, there is no clear definition and no well defined scope for mobile cloud computing due to commercial hype, and diverse ways of combining cloud computing and mobile applications. This article makes the first attempt to present a survey of mobile cloud computing from the perspective of its intended usages. Specifically, we introduce three common mobile cloud architectures and classify comprehensive existing work into two fundamental categories: computation offloading and capability extending. Considering the energy bottleneck and user context of mobile devices, we discuss the research challenges and opportunities of introducing cloud computing to assist mobile devices, including energy-efficient interactions, virtual machine migration overhead, privacy, and security. Moreover, we demonstrate three real-world applications enabled by mobile cloud computing, in order to stimulate further discussion and development of this emerging field.
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Cites
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
MAUI: making smartphones last longer with code offload
Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., & Bahl, P. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814441 · Cited by 2,281
(2011) · doi:10.1145/1966445.1966473 · Cited by 1,870
Cited by
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Mach, P., & Becvar, Z. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2682318 · Cited by 3,258
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Sardellitti, S., Scutari, G., & Barbarossa, S. (2015) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2015.2448520 · Cited by 891
Multiobjective Optimization for Computation Offloading in Fog Computing
Liu, L., Chang, Z., Guo, X., Mao, S., & Ristaniemi, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2780236 · Cited by 512
Pu, L., Chen, X., Xu, J., & Fu, X. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2624118 · Cited by 369
Computation offloading in mobile edge computing networks: A survey
Feng, C., Han, P., Zhang, X., Yang, B., Liu, Y., & Guo, L. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103366 · Cited by 284
Metadata
- Authors
- Liu, F., Shu, P., Jin, H., Ding, L., Yu, J., Niu, D., & Li, B.
- Venue
- IEEE Wireless Communications
- Published
- 2013-06
- Volume
- 20
- Issue
- 3
- Pages
- 14-22
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2129021586
- Cited by
- 394
- References
- 3
- FWCI
- 51.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, F., Shu, P., Jin, H., Ding, L., Yu, J., Niu, D., & Li, B. (2013). Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2013.6549279
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