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Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks

Byers, Charles C.·2017·IEEE Communications Magazine

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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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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CoChat. (2026). Citation check: Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks. https://app.cochat.ai/papers/10.1109/mcom.2017.1600885
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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.