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
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“Sectors: Moving resources closer to the”
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“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].”
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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
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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
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Items 101–154 of 154
Golchha, R., Lachure, J., & Doriya, R. (2023) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/130122 · Cited by 2
Performance Analysis of Scheduling Algorithms on Fog Computing using YAFS
Nurcahya, D., Karimah, S. A., & Mugitama, S. A. (2023) · SinkrOn · doi:10.33395/sinkron.v8i3.12682 · Cited by 2
Analysis of Security Access Control Systems in Fog Computing Environment
Zhang, J. (2023) · Journal of Cyber Security and Mobility · doi:10.13052/jcsm2245-1439.1252 · Cited by 2
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Self-citationSyvolovskyi, I., & Лисечко, В. П. (2025) · Системи управління навігації та зв’язку Збірник наукових праць · doi:10.26906/sunz.2025.2.255 · Cited by 1
Yang, Y., Zhang, L., Zhao, Y., & Choo, K. R. (2025) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2025.3628257 · Cited by 1
Saeed, M. M. A., Saeed, R. A., & Ahmed, Z. E. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33441-2.00003-3 · Cited by 1
Atlam, M., Attiya, G., & El-Rashidy, M. A. (2026) · AI · doi:10.3390/ai7020044 · Cited by 1
Mahmoudi, M., Barekatain, B., Beheshti, Z., Quintana, A. A., & Velayati, M. R. (2026) · Cluster Computing · doi:10.1007/s10586-025-05931-8 · Cited by 1
Fog Computing: A Comprehensive Review on Security Analysis, Attacks, and Future Prospects
Gola, K. K., Arya, S., Khan, G., Singh, M., Gulati, S., Chaurasia, N., Kanauzia, R., & Kumar, S. (2026) · The International journal of networked and distributed computing · doi:10.1007/s44227-026-00093-4 · Cited by 1
Plevnik, M., & Jereb, B. (2026) · Computer Standards & Interfaces · doi:10.1016/j.csi.2026.104187 · Cited by 1
Panigrahi, S., Patra, S. S., AL-Amodi, S., & Barik, R. K. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-0901-6_6 · Cited by 1
Uncovering Effective Roles and Tasks for Fog Systems
Blume, M., Lins, S., & Sunyaev, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46235-1_8 · Cited by 1
Improvement of Energy Consumption in Fog Computing Via Task Offloading
Muhamad, W. N. W., Ribep, A. C., Dimyati, K., Yusof, A. L., & Abdullah, E. (2023) · Journal of Advanced Research in Applied Sciences and Engineering Technology · doi:10.37934/araset.36.2.199212 · Cited by 1
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Harmach, F., Wahbi, A., & Fakhri, Y. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-70411-6_60 · Cited by 1
An Adaptive Firefly Algorithm for Dependent Task Scheduling in IoT-Fog Computing
Yousif, A. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.059786 · Cited by 1
Nain, Z., Shahana, B., Chaudhry, S. A., Viswanathan, P., Mekala, M. S., & Kim, S. W. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.033194 · Cited by 1
A Two-layer Intrusion Detection System based on Fog and Cloud using Improved KNN and MPNNPreprint
Kaffash, A., Kamel, S. R., & Kheirabadi, M. (2023) · Research Square · doi:10.21203/rs.3.rs-3127041/v1 · Cited by 1
Design and implementation of a hybrid IoT system of data collection and visualization
Wade, A.-M., Gueye, I., & SIDIBE, S. (2022) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2022.13.1.0109
Gill, S. S., Kaur, A., & Singh, P. (2022) · International Journal of Grid and Utility Computing · doi:10.1504/ijguc.2022.10045288
Self-citationDelay Efficient Caching in Fog Computing
Gupta, D., Wadhwa, S., Rani, S., & Sharma, P. (2022) · Algorithms for intelligent systems · doi:10.1007/978-981-19-2065-3_33
A Cost and Energy-Aware Deployment of IoT Applications scheme in Fog SystemsPreprint
Faraji‐Mehmandar, M., Ghobaei‐Arani, M., & Shakarami, A. (2023) · Research Square · doi:10.21203/rs.3.rs-2881519/v1
An Integrated Fog Computing With Machine Learning Techniques for Diagnosis of Thyroid Disease
Kumari, N. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-6684-4466-5.ch004
Shan, P., & Zhang, Z. (2023) · Optical and Quantum Electronics · doi:10.1007/s11082-023-05382-8
RetractedFog computing security using token-based authentication system
Chaudhary, T., Kush, R. V., Gautam, S., Patnaik, S. S., & Singh, S. P. (2023) · AIP conference proceedings · doi:10.1063/5.0182572
Trustless Layer for Secure Fog Computing
Li, W. J. (2023) · International Conference on Cyber Security and Information Engineering (ICCSIE) · doi:10.1145/3617184.3630157
Mulyana, A., Wahjuni, S., Djatna, T., & Sukoco, H. (2023) · International Conference on Informatics Engineering, Science & Technology (INCITEST) · doi:10.1109/incitest59455.2023.10396945
Enhancing Healthcare Monitoring Systems: A Case Analysis in Optimization
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A Concurrent Computing Model for Fog Assisted Edge Network Applications
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Zambrano, M., V, Minango, J., Paredes-Parada, W., Pérez-Chimborazo, J., & Zambrano-Vizuete, A. (2024) · SN Computer Science · doi:10.1007/s42979-024-03220-6
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Oualla, A., Moutai, F. Z., Azzouzi, S., & Charaf, M. E. H. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-03695-7_36
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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
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