The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Fog Computing in Healthcare–A Review and Discussion
Open accessAbstract
Fog computing is an architectural style in which network components between devices and the cloud execute application-specific logic. We present the first review on fog computing within healthcare informatics, and explore, classify, and discuss different application use cases presented in the literature. For that, we categorize applications into use case classes and list an inventory of application-specific tasks that can be handled by fog computing. We discuss on which level of the network such fog computing tasks can be executed, and provide tradeoffs with respect to requirements relevant to healthcare. Our review indicates that: 1) there is a significant number of computing tasks in healthcare that require or can benefit from fog computing principles; 2) processing on higher network tiers is required due to constraints in wireless devices and the need to aggregate data; and 3) privacy concerns and dependability prevent computation tasks to be completely moved to the cloud. These findings substantiate the need for a coherent approach toward fog computing in healthcare, for which we present a list of recommended research and development actions.
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Cites
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Internet Protocol, Version 6 (IPv6) Specification
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“It also creates new possibilities for actuation, autonomous reconfiguration, devices discovery, mobility and even energy efficiency [92].”
BackgroundAn IoT-Aware Architecture for Smart Healthcare Systems
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Cited by
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
Machine Learning for Healthcare Wearable Devices: The Big Picture
Sabry, F., Eltaras, T., Labda, W., Alzoubi, K., & Malluhi, Q. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/4653923 · Cited by 321
Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues
Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2875544 · Cited by 284
Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N. (2021) · IEEE Access · doi:10.1109/access.2021.3052850 · Cited by 213
EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange
Akkaoui, R., Hei, X., & Cheng, W. (2020) · IEEE Access · doi:10.1109/access.2020.3003575 · Cited by 175
Metadata
- Authors
- Kraemer, F. A., Braten, A. E., Tamkittikhun, N., & Palma, D.
- Venue
- IEEE Access
- Published
- 2017
- Volume
- 5
- Pages
- 9206-9222
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2615777654
- Cited by
- 331
- References
- 71
- FWCI
- 23.85
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kraemer, F. A., Braten, A. E., Tamkittikhun, N., & Palma, D. (2017). Fog Computing in Healthcare–A Review and Discussion. IEEE Access. https://doi.org/10.1109/access.2017.2704100
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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