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Fog computing and its role in the internet of things
Open accessAbstract
Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
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“Fog computing can be used as a solution to the shortcomings of the cloud for smart transportation systems.”
From Smart Transportation: An Overview of Technologies and Applications (2023) · cites this paper as [23]
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Research works printed but not linked: 6
- F. Bonomi . Connected vehicles, the internet of things, and fog computing . VANET 2011 , 2011 . F. Bonomi. Connected vehicles, the internet of things, and fog computing. VANET 2011, 2011.
- 10.1145/161468.161471 · DOI
- 10.5555/944919.944974 · DOI
- 10.1145/332040.332491 · DOI
- M. J. Sannella . Constraint satisfaction and debugging for interactive user interfaces . 2003 . M. J. Sannella. Constraint satisfaction and debugging for interactive user interfaces. 2003.
- P. Tavel . Modeling and simulation design . 2007 . P. Tavel. Modeling and simulation design. 2007.
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Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments
Valerio, L., Passarella, A., & Conti, M. (2016) · 2016 IEEE International Conference on Smart Computing (SMARTCOMP) · doi:10.1109/smartcomp.2016.7501696 · Cited by 24
A Performance Comparison of Containers and Unikernels for Reliable 5G Environments
Filipe, J. B., Meneses, F., Rehman, A. U., Corujo, D., & Aguiar, R. L. (2019) · 2019 15th International Conference on the Design of Reliable Communication Networks (DRCN) · doi:10.1109/drcn.2019.8713677 · Cited by 11
Prasath, N., Arun, A., Saravanan, B., & Kamaraj, K. (2025) · Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology · doi:10.3233/jifs-233495 · Cited by 3
Retracted
Metadata
- Authors
- Bonomi, F., Milito, R., Zhu, J., & Addepalli, S.
- Affiliations
- Cisco Systems (United States) (US)
- ORCID
- Zhu, Jiang
- Venue
- Proceedings of the first edition of the MCC workshop on Mobile cloud computing
- Publisher
- ACM
- Published
- 2012-08-17
- Pages
- 13-16
- OpenAlex
- W2114623221
- Cited by
- 6,244
- References
- 0
- Citations by year
- 2026: 198 · 2025: 266 · 2024: 327 · 2023: 426 · 2022: 508 · 2021: 632 · 2020: 778 · 2019: 916 · 2018: 931 · 2017: 640 · 2016: 357 · 2015: 183 · 2014: 60 · 2013: 20 · 2012: 2
- FWCI
- 71.11
- Type
- conference paper
- Language
- en
- Open access
- gold
- doi.org
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- fog computing, Internet of Things, edge computing, low latency, location awareness, wireless sensor and actuator networks, connected vehicles, smart grid, smart cities, real-time applications, heterogeneous networks
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