The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Fog Computing and the Internet of Things: A Review
Open accessAbstract
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.
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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
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
A Survey of Fog Computing: Concepts, Applications and Issues
Yi, S., Li, C., & Li, Q. (2015) · Proceedings of the 2015 Workshop on Mobile Big Data · doi:10.1145/2757384.2757397 · Cited by 1,339
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
Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing
Vaquero, L. M., & Rodero-Merino, L. (2014) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2677046.2677052 · Cited by 1,066
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 1,047
The Fog Computing Paradigm: Scenarios and Security Issues
Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems · doi:10.15439/2014f503 · Cited by 1,037
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 930
Fog Computing: A Taxonomy, Survey and Future Directions
Mahmud, R., Kotagiri, R., & Buyya, R. (2018) · Internet of Things · doi:10.1007/978-981-10-5861-5_5 · Cited by 921
Cited by
Enabling 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
Ahmad, S., Shakeel, I., Mehfuz, S., & Ahmad, J. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100568 · Cited by 197
A Review of Blockchain in Internet of Things and AI
Atlam, H. F., Azad, M. A., Alzahrani, A. G., & Wills, G. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4040028 · Cited by 169
Self-citationTanwani, A. K., Mor, N., Kubiatowicz, J., Gonzalez, J. E., & Goldberg, K. (2019) · 2019 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2019.8793690 · Cited by 87
An efficient security risk estimation technique for Risk-based access control model for IoT
Atlam, H. F., & Wills, G. B. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100052 · Cited by 60
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Metadata
- Authors
- Atlam, H., Walters, R., & Wills, G.
- Venue
- Big Data and Cognitive Computing
- Publisher
- MDPI AG
- Published
- 2018-04-08
- Volume
- 2
- Issue
- 2
- Pages
- 10
- ISSN
- 2504-2289 (ISSN-L)
- OpenAlex
- W2796447772
- Cited by
- 608
- References
- 55
- FWCI
- 39.83
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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