The DOI matches its Crossref record; 219 of the 226 references it cites were found in a registry or an index, and 1 are not checked yet.
Fog computing: A taxonomy, systematic review, current trends and research challenges
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Sectors: Moving resources closer to the”
From Edge AI: A survey (2023) · cites this paper as [13]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In addition, bodies such as ETSI have extended the use of the word “mobile” to include devices such as surveillance cameras which are immobile (but rotatable) [13].”
From Edge AI: A survey (2023) · cites this paper as [13]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
(2004) · Cited by 5,198
Calheiros, R. N., Ranjan, R. K., Beloglazov, A., Rose, C. A. F. D., & Buyya, R. (2010) · Software Practice and Experience · doi:10.1002/spe.995 · Cited by 4,961
Guidance on Conducting a Systematic Literature Review
Xiao, Y., & Watson, M. (2019) · Journal of Planning Education and Research · doi:10.1177/0739456x17723971 · Cited by 3,467
Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007) · Journal of Systems and Software · doi:10.1016/j.jss.2006.07.009 · Cited by 2,394
Fog and IoT: An Overview of Research Opportunities
Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362
Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R. (2017) · Software: Practice and Experience · doi:10.1002/spe.2509 · Cited by 1,649
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
Hou, X., Li, Y., Chen, M., Wu, D., Jin, D., & Chen, S. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2532863 · Cited by 943
Flagged first, then by citations
6 of the 226 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Sankara Rao, 2018, A review on fog computing: conceptual live vm migration framework, issues, applications and its challenges, Int. J. Sci. Res. Comput. Sci., Eng. Inf. Technol., 1, 1175
Cited by
Sorted by citations
AI for next generation computing: Emerging trends and future directions
Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Rami Bahsoon, A., Shaghaghi, A., Golec, M., Stankovski, V., Wu, H., Abraham, A., et al. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100514 · Cited by 775
Self-citationSingh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572
Self-citationMishra, M., Lourenço, P. B., & Ramana, G. V. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103954 · Cited by 484
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Iftikhar, S., Gill, S. S., Song, C., Xu, M., Aslanpour, M. S., Toosi, A. N., Du, J., Wu, H., Ghosh, S., Chowdhury, D., et al. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100674 · Cited by 297
Self-citationA review on fog computing: Issues, characteristics, challenges, and potential applications
Daş, R., & Inuwa, M. M. (2023) · Telematics and Informatics Reports · doi:10.1016/j.teler.2023.100049 · Cited by 214
Metadata
- Authors
- Singh, J., Singh, P., & Gill, S. S.
- Affiliations
- Lovely Professional University (IN)
- Queen Mary University of London (GB)
- Corresponding author
- Gill, Sukhpal Singh
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 157
- Pages
- 56-85
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W3174273494
- Cited by
- 154
- References
- 226
- Citations by year
- 2026: 14 · 2025: 26 · 2024: 28 · 2023: 46 · 2022: 33 · 2021: 7
- FWCI
- 4.58
- Type
- journal article
- Language
- en
- Open access
- green
- qmro.qmul.ac.uk
- Licence
- Locations
- Journal of Parallel and Distributed Computing (publishedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- University of Texas at Austin
- University of Melbourne
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- fog computing, taxonomy (general classification scheme), Internet of Things, quality of service, fog computing architecture, latency, scalability, privacy and security, communication modes
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
