Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64010-0_12
Reference36 articles.
1. Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V.H.F., Benkhelifa, E.: Uncertainty-aware authentication model for fog computing in IoT. In: Proceedings of the 2019 4th International Conference on Fog and Mobile Edge Computing, FMEC 2019, pp. 52–59. IEEE (2019)
2. Jamil, B., Ijaz, H., Shojafar, M., Munir, K., Buyya, R.: Resource allocation and task scheduling in fog computing and internet of everything environments: a taxonomy, review, and future directions. ACM Comput. Surv. 54, 1–38 (2022)
3. Lee, G., Saad, W., Bennis, M.: An online optimization framework for distributed fog network formation with minimal latency. IEEE Trans. Wirel. Commun. 18, 2244–2258 (2019)
4. Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., Rovatsos, M.: Fog orchestration for internet of things services. IEEE Internet Comput. 21, 16–24 (2017)
5. Tuli, S., Casale, G., Jennings, N.R.: GOSH: task scheduling using deep surrogate models in fog computing environments. IEEE Trans. Parallel Distrib. Syst. 33, 2821–2833 (2022)
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