Mobile edge computing: progress and challenges
Abstract
Mobile Edge Computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. This paper presents an investigation on the progress of MEC, and proposes a platform, named WiCloud, to provide edge networking, proximate computing and data acquisition for innovative services. Furthermore, the open challenges that must be addressed before the commercial deployment of MEC are discussed.
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Mobile edge computing unites the telecommunications industry with IT at the mobile network edge.
“This highlights the role of telecommunications in MEC, which can be viewed as uniting the telecommunications industry with IT at the mobile network edge [120,125].”
From Edge AI: A survey (2023) · cites this paper as [125]
Different network architectures will be required for different edge computing scenarios.
“Different network architectures will also be required for these different scenarios [125,133,144,204].”
From Edge AI: A survey (2023) · cites this paper as [125]
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 · see citing works
A survey of mobile cloud computing: architecture, applications, and approaches
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.1203 · Cited by 2,391 · see citing works
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Mobile Edge Computing: A Survey
Abbas, N., Zhang, Y., Taherkordi, A., & Skeie, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2750180 · Cited by 2,474 · see citing works
A Survey on the Edge Computing for the Internet of Things
Yu, W., Liang, F., He, X., Hatcher, W. G., Lu, C., Lin, J., & Yang, X. (2018) · IEEE Access · doi:10.1109/access.2017.2778504 · Cited by 1,520 · see citing works
Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572 · see citing works
Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing
Dolui, K., & Datta, S. K. (2017) · 2017 Global Internet of Things Summit (GIoTS) · doi:10.1109/giots.2017.8016213 · Cited by 492 · see citing works
An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Chen, J., Chen, S., Luo, S., Wang, Q., Cao, B., & Li, X. (2020) · Digital Communications and Networks · doi:10.1016/j.dcan.2020.04.008 · Cited by 73 · see citing works
- Authors
- Li, H., Shou, G., Hu, Y., & Guo, Z.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Venue
- 2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)
- Publisher
- IEEE
- Published
- 2016-03
- Pages
- 83-84
- OpenAlex
- W2407223074
- Cited by
- 226
- References
- 2
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 48 · 2023: 15 · 2022: 29 · 2021: 28 · 2020: 20 · 2019: 26 · 2018: 21 · 2017: 19 · 2016: 5
- FWCI
- 20.22
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) (publishedVersion)
- Funders
- National Science Foundation
- Beijing University of Posts and Telecommunications
- Ministerio de Economía y Competitividad
- Instituto de Telecomunicações
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- mobile edge computing, data acquisition, cloud computing
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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