The DOI matches its Crossref record; 137 of the 137 references it cites were found in a registry or an index.
Fog Computing for the Internet of Things: A Survey
Open accessAbstract
Research in the Internet of Things (IoT) conceives a world where everyday objects are connected to the Internet and exchange, store, process, and collect data from the surrounding environment. IoT devices are becoming essential for supporting the delivery of data to enable electronic services, but they are not sufficient in most cases to host application services directly due to their intrinsic resource constraints. Fog Computing (FC) can be a suitable paradigm to overcome these limitations, as it can coexist and cooperate with centralized Cloud systems and extends the latter toward the network edge. In this way, it is possible to distribute resources and services of computing, storage, and networking along the Cloud-to-Things continuum. As such, FC brings all the benefits of Cloud Computing (CC) closer to end (user) devices. This article presents a survey on the employment of FC to support IoT devices and services. The principles and literature characterizing FC are described, highlighting six IoT application domains that may benefit from the use of this paradigm. The extension of Cloud systems towards the network edge also creates new challenges and can have an impact on existing approaches employed in Cloud-based deployments. Research directions being adopted by the community are highlighted, with an indication of which of these are likely to have the greatest impact. An overview of existing FC software and hardware platforms for the IoT is also provided, along with the standardisation efforts in this area initiated by the OpenFog Consortium (OFC).
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Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
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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
A Survey on Mobile Edge Computing: The Communication Perspective
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The case for vm-based cloudlets in mobile computing
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“The great amount of heterogeneous data (i.e., the Big Data [31]) collected by IoT devices needs to be stored and processed, and the obtained insights need to be retrieved for visualization or actuation.”
BackgroundContext Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
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BackgroundThe emergence of edge computing
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Cited by
Pham, Q.-V., Fang, F., Ha, V. N., Piran, M. J., Le, M., Le, L. B., Hwang, W.-J., & Ding, Z. (2020) · IEEE Access · doi:10.1109/access.2020.3001277 · Cited by 870
RETRACTED ARTICLE: A Review and State of Art of Internet of Things (IoT)
Laghari, A. A., Wu, K., Laghari, R. A., Ali, M., & Khan, A. A. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09622-6 · Cited by 386
RetractedAn Empirical Study on System Level Aspects of Internet of Things (IoT)
Swamy, S. N., & Kota, S. R. (2020) · IEEE Access · doi:10.1109/access.2020.3029847 · Cited by 267
Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N. (2021) · IEEE Access · doi:10.1109/access.2021.3052850 · Cited by 213
FogDLearner: A Deep Learning-based Cardiac Health Diagnosis Framework using Fog Computing
Iftikhar, S., Golec, M., Chowdhury, D., Gill, S. S., & Uhlig, S. (2022) · Australasian Computer Science Week 2022 · doi:10.1145/3511616.3513108 · Cited by 31
Metadata
- Authors
- Puliafito, C., Mingozzi, E., Longo, F., Puliafito, A., & Rana, O.
- Venue
- ACM Transactions on Internet Technology
- Published
- 2019-04-02
- Volume
- 19
- Issue
- 2
- Pages
- 1-41
- ISSN
- 1533-5399 (ISSN-L)
- 1557-6051
- OpenAlex
- W2929921254
- Cited by
- 323
- References
- 137
- FWCI
- 29.05
- Type
- journal article
- Language
- en
- Open access
- green
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