The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks
Abstract
Fog computing is an architecture that extends the traditionally centralized functions of cloud computing to the edge and into close proximity to the things in an Internet of Things network. Fog computing brings many advantages, including enhanced performance, better efficiency, network bandwidth savings, improved security, and resiliency. This article discusses some of the more important architectural requirements for critical Internet of Things networks in the context of exemplary use cases, and how fog computing techniques can help fulfill them.
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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
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
MAUI: making smartphones last longer with code offload
Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., & Bahl, P. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814441 · Cited by 2,281
Low Latency Geo-distributed Data Analytics
Pu, Q., Ananthanarayanan, G., Bodik, P., Kandula, S., Akella, A., Bahl, P., & Stoica, I. (2015) · Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication · doi:10.1145/2785956.2787505 · Cited by 246
Cited by
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
Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory
Wan, J., Chen, B., Wang, S., Xia, M., Li, D., & Liu, C. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2818932 · Cited by 322
The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey
Tariq, N., Asim, M., Al-Obeidat, F., Zubair Farooqi, M., Baker, T., Hammoudeh, M., & Ghafir, I. (2019) · Sensors · doi:10.3390/s19081788 · Cited by 268
Multi-tier computing networks for intelligent IoT
Yang, Y. (2019) · Nature Electronics · doi:10.1038/s41928-018-0195-9 · Cited by 167
Metadata
- Authors
- Byers, C. C.
- Venue
- IEEE Communications Magazine
- Published
- 2017-08
- Volume
- 55
- Issue
- 8
- Pages
- 14-20
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2743702376
- Cited by
- 194
- References
- 4
- FWCI
- 19.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Byers, C. C. (2017). Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2017.1600885
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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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