Recovery for overloaded mobile edge computing
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 [204]
Cites
Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture
Soyata, T., Muraleedharan, R., Funai, C., Kwon, M., & Heinzelman, W. (2012) · 2012 IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2012.6249269 · Cited by 420 · see citing works
Flagged first, then by citations
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A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607 · see citing works
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
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
A Survey of Virtual Machine Management in Edge Computing
Tao, Z., Xia, Q., Hao, Z., Li, C., Ma, L., Yi, S., & Li, Q. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2927919 · Cited by 114 · see citing works
Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services
Aral, A., & Brandic, I. (2021) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2020.3046188 · Cited by 68 · see citing works
The advantage of computation offloading in multi-access edge computing
Singh, R., Armour, S., Khan, A., Sooriyabandara, M., & Oikonomou, G. (2019) · 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec.2019.8795335 · Cited by 11 · see citing works
- Authors
- Satria, D., Park, D., & Jo, M.
- Affiliations
- Korea University (KR)
- Corresponding author
- Jo, Minho
- ORCID
- Jo, Minho
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 70
- Pages
- 138-147
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2472738043
- Cited by
- 112
- References
- 1
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 6 · 2023: 6 · 2022: 7 · 2021: 15 · 2020: 17 · 2019: 23 · 2018: 14 · 2017: 13 · 2016: 1
- FWCI
- 16.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Future Generation Computer Systems (publishedVersion)
- Funders
- Korea University
- 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 › Hardware and Architecture › Cloud Computing and Remote Desktop Technologies
- Keywords
- mobile edge computing, system failure recovery, workload offloading, quality of experience
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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