The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework
Open accessAbstract
Fog computing, an extension of cloud computing services to the edge of the network to decrease latency and network congestion, is a relatively recent research trend. Although both cloud and fog offer similar resources and services, the latter is characterized by low latency with a wider spread and geographically distributed nodes to support mobility and real-time interaction. In this paper, we describe the fog computing architecture and review its different services and applications. We then discuss security and privacy issues in fog computing, focusing on service and resource availability. Virtualization is a vital technology in both fog and cloud computing that enables virtual machines (VMs) to coexist in a physical server (host) to share resources. These VMs could be subject to malicious attacks or the physical server hosting it could experience system failure, both of which result in unavailability of services and resources. Therefore, a conceptual smart pre-copy live migration approach is presented for VM migration. Using this approach, we can estimate the downtime after each iteration to determine whether to proceed to the stop-and-copy stage during a system failure or an attack on a fog computing node. This will minimize both the downtime and the migration time to guarantee resource and service availability to the end users of fog computing. Last, future research directions are outlined.
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Cites
Fog computing and its role in the internet of things
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The real-time city? Big data and smart urbanism
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Live migration of virtual machines
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Integration of Cloud computing and Internet of Things: A survey
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A Survey of Fog Computing: Concepts, Applications and Issues
Yi, S., Li, C., & Li, Q. (2015) · Proceedings of the 2015 Workshop on Mobile Big Data · doi:10.1145/2757384.2757397 · Cited by 1,339
Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges
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Connected Vehicles: Solutions and Challenges
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Fog Computing: A Platform for Internet of Things and Analytics
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Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing
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Cited by
Ren, J., Zhang, D., He, S., Zhang, Y., & Li, T. (2020) · ACM Computing Surveys · doi:10.1145/3362031 · Cited by 615
Enabling technologies for fog computing in healthcare IoT systems
Mutlag, A. A., Abd Ghani, M. K., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.049 · Cited by 590
Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework
Kumar, H., Singh, M. K., Gupta, M. P., & Madaan, J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.04.024 · Cited by 530
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms
Hong, C.-H., & Varghese, B. (2020) · ACM Computing Surveys · doi:10.1145/3326066 · Cited by 461
Wu, Y., Dai, H.-N., & Wang, H. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3025916 · Cited by 323
Metadata
- Authors
- Osanaiye, O., Chen, S., Yan, Z., Lu, R., Choo, K.-K. R., & Dlodlo, M.
- Venue
- IEEE Access
- Published
- 2017
- Volume
- 5
- Pages
- 8284-8300
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2606297994
- Cited by
- 320
- References
- 93
- FWCI
- 33.20
- Type
- journal article
- Language
- en
- Open access
- gold
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- Osanaiye, O., Chen, S., Yan, Z., Lu, R., Choo, K.-K. R., & Dlodlo, M. (2017). From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework. IEEE Access. https://doi.org/10.1109/access.2017.2692960
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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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