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Clarifying Fog Computing and Networking: 10 Questions and Answers
Open accessAbstract
Fog computing is an end-to-end horizontal architecture that distributes computing, storage, control, and networking functions closer to users along the cloud-to-thing continuum. The word “edge” may carry different meanings. A common usage of the term refers to the edge network as opposed to the core network, with equipment such as edge routers, base stations, and home gateways. In that sense, there are several differences between fog and edge. First, fog is inclusive of cloud, core, metro, edge, clients, and things. The fog architecture will further enable pooling, orchestrating, managing, and securing the resources and functions distributed in the cloud, anywhere along the cloud-to-thing continuum, and on the things to support end-to-end services and applications. Second, fog seeks to realize a seamless continuum of computing services from the cloud to the things rather than treating the network edges as isolated computing platforms. Third, fog envisions a horizontal platform that will support the common fog computing functions for multiple industries and application domains, including but not limited to traditional telco services. Fourth, a dominant part of edge is mobile edge, whereas the fog computing architecture will be flexible enough to work over wireline as well as wireless networks.
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Cited by
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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
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659
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Metadata
- Authors
- Chiang, M., Ha, S., Risso, F., Zhang, T., & Chih-Lin, I.
- Venue
- IEEE Communications Magazine
- Published
- 2017-04
- Volume
- 55
- Issue
- 4
- Pages
- 18-20
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2606084320
- Cited by
- 236
- References
- 0
- FWCI
- 21.83
- Type
- journal article
- Language
- en
- Open access
- green
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