A Framework of Fog Computing: Architecture, Challenges, and Optimization
Open accessAbstract
Fog computing (FC) is an emerging distributed computing platform aimed at bringing computation close to its data sources, which can reduce the latency and cost of delivering data to a remote cloud. This feature and related advantages are desirable for many Internet-of-Things applications, especially latency sensitive and mission intensive services. With comparisons to other computing technologies, the definition and architecture of FC are presented in this paper. The framework of resource allocation for latency reduction combined with reliability, fault tolerance, privacy, and underlying optimization problems are also discussed. We then investigate an application scenario and conduct resource optimization by formulating the optimization problem and solving it via a genetic algorithm. The resulting analysis generates some important insights on the scalability of the FC systems.
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Fog/cloud computing promises a distributed computing paradigm that extends the services provided by the cloud to the edge of the network.
“Fog/cloud computing [300], [301] promises a distributed computing paradigm that extends the services provided by the cloud to the edge of the network.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [301]
The introduction of emerging architectures such as MEC, fog/cloud computing and ICN can greatly benefit from SDN and NFV to provide interactive and immersive video services to consumers.
“However, the introduction of emerging architectures such as MEC [14], fog/cloud computing [300], [301] and ICN can greatly benefit from SDN and NFV to provide interactive and immersive video services to consumers.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [301]
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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 · see citing works
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1× · see citing works
“In the survey of [7], the application is mainly divided into three categories: industry, environment and society.”
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QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239 · see citing works
Ahmad, S., Shakeel, I., Mehfuz, S., & Ahmad, J. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100568 · Cited by 197 · see citing works
Fog computing: a taxonomy, systematic review, current trends and research challenges
Singh, J., Singh, P., & Gill, S. S. (2021) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2021.06.005 · Cited by 154 · see citing works
- Authors
- Liu, Y., Fieldsend, J. E., & Min, G.
- Affiliations
- University of Exeter (GB)
- Venue
- IEEE Access
- Published
- 2017
- Volume
- 5
- Pages
- 25445-25454
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2765776605
- Cited by
- 218
- References
- 2
- Citations by year
- 2026: 3 · 2025: 14 · 2024: 21 · 2023: 24 · 2022: 27 · 2021: 37 · 2020: 25 · 2019: 40 · 2018: 27
- FWCI
- 16.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- Open Research Exeter (University of Exeter) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/P020224/1)
- EU FP7 QUICK Project (PIRSES-GA-2013-612652)
- Chinese Scholarship Council
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- fog computing, fog computing architecture, Internet of Things, latency reduction, resource allocation, resource optimization, genetic algorithm, fault tolerance, privacy, scalability, distributed computing
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