The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Edge computing technologies for Internet of Things: a primer
Open accessAbstract
With the rapid development of mobile internet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency (SE), and non-adaptive machine type of communication. Motivated to solve these challenges, a new technology is driving a trend that shifts the function of centralized cloud computing to edge devices of networks. Several edge computing technologies originating from different backgrounds to decrease latency, improve SE, and support the massive machine type of communication have been emerging. This paper comprehensively presents a tutorial on three typical edge computing technologies, namely mobile edge computing, cloudlets, and fog computing. In particular, the standardization efforts, principles, architectures, and applications of these three technologies are summarized and compared. From the viewpoint of radio access network, the differences between mobile edge computing and fog computing are highlighted, and the characteristics of fog computing-based radio access network are discussed. Finally, open issues and future research directions are identified as well.
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Cites
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Cited by
Interoperability in Internet of Things: Taxonomies and Open Challenges
Noura, M., Atiquzzaman, M., & Gaedke, M. (2019) · Mobile Networks and Applications · doi:10.1007/s11036-018-1089-9 · Cited by 693
Fog Computing and the Internet of Things: A Review
Atlam, H., Walters, R., & Wills, G. (2018) · Big Data and Cognitive Computing · doi:10.3390/bdcc2020010 · Cited by 608
Cloud computing in construction industry: Use cases, benefits and challenges
Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Davila Delgado, J. M., Akanbi, L. A., Ajayi, A. O., & Owolabi, H. A. (2021) · Automation in Construction · doi:10.1016/j.autcon.2020.103441 · Cited by 452
The Use of MQTT in M2M and IoT Systems: A Survey
Mishra, B., & Kertesz, A. (2020) · IEEE Access · doi:10.1109/access.2020.3035849 · Cited by 429
Usage impact on data center electricity needs: A system dynamic forecasting model
Koot, M., & Wijnhoven, F. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116798 · Cited by 403
Metadata
- Authors
- Ai, Y., Peng, M., & Zhang, K.
- Venue
- Digital Communications and Networks
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 4
- Issue
- 2
- Pages
- 77-86
- ISSN
- 2352-8648 (ISSN-L)
- OpenAlex
- W2730079057
- Cited by
- 582
- References
- 10
- FWCI
- 40.91
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
