The DOI matches its Crossref record; 129 of the 134 references it cites were found in a registry or an index.
Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Edge computing has become an important solution to break the bottleneck of emerging technologies by virtue of its advantages of reducing data transmission, improving service latency and easing cloud computing pressure.”
From Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2020) · cites this paper as [23]
In the citing paper
“However, the edge computing community has not yet reached a consensus on the standardized definitions, architectures and protocols of edge computing [23].”
From Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2020) · cites this paper as [23]
Citations
Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
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
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605
Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R. (2017) · Software: Practice and Experience · doi:10.1002/spe.2509 · Cited by 1,649
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
You, C., Huang, K., Chae, H., & Kim, B. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2633522 · Cited by 1,516
Yi, S., Li, C., & Li, Q. (2015) · doi:10.1145/2757384.2757397 · Cited by 1,358
Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges
Roman, R., Lopez, J., & Mambo, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.009 · Cited by 1,338
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222
Fog Computing: Helping the Internet of Things Realize Its Potential
Dastjerdi, A. V., & Buyya, R. (2016) · Computer · doi:10.1109/mc.2016.245 · Cited by 994
Research works printed but not linked: 4
- T.H. Luan, L. Gao, Z. Li, Y. Xiang, and L. Sun, Fog computing: focusing on mobile users at the edge, [online] arXiv: 1502.01815, 2015. · arXiv
- Akamai, 2014, Akamai's State of the Internet Q1, vol.7
- Akamai, 2016, Akamai's State of the Internet Q1, vol. 9
- Stojmenovic, 2015, An overview of Fog computing and its security issues, Concurr. Comput.
Cited by
Sorted by citations
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Wang, X., Han, Y., Leung, V. C. M., Niyato, D., Yan, X., & Chen, X. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2970550 · Cited by 1,498
“More detailed information can be found in [8], [22], [23].”
BackgroundEnabling technologies for fog computing in healthcare IoT systems
Mutlag, A. A., Abd Ghani, M. K., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.049 · Cited by 590
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Khan, L. U., Yaqoob, I., Tran, N. H. K., Kazmi, S. M. A., Dang, T. N., & Hong, C. S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2987070 · Cited by 530
Federated Learning in Edge Computing: A Systematic Survey
Abreha, H. G., Hayajneh, M., & Serhani, M. A. (2022) · Sensors · doi:10.3390/s22020450 · Cited by 384
An Overview of Service Placement Problem in Fog and Edge Computing
Aït-Salaht, F., Desprez, F., & Lèbre, A. (2020) · ACM Computing Surveys · doi:10.1145/3391196 · Cited by 356
Metadata
- Authors
- Bilal, K., Khalid, O., Erbad, A., & Khan, S. U.
- Affiliations
- COMSATS University Islamabad (PK)
- Qatar University (QA)
- North Dakota State University (US)
- Corresponding author
- Bilal, Kashif
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 130
- Pages
- 94-120
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2765716344
- Cited by
- 334
- References
- 134
- Citations by year
- 2026: 8 · 2025: 27 · 2024: 32 · 2023: 34 · 2022: 58 · 2021: 53 · 2020: 55 · 2019: 43 · 2018: 24
- FWCI
- 22.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computer Networks (acceptedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar National Research Fund (8-519-1-108)
- National Science Foundation
- 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 › Energy Efficiency in Computing
- Keywords
- edge computing, fog computing, cloudlets, mobile edge computing, micro data centers, network traffic reduction, energy efficiency, Internet of Everything, smart cities, content delivery networks, sensor data processing
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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.
Statistics and arithmetic are recomputed, not judged.
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