Fog Computing Model Based on Queuing Theory
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35251-5_17
Reference12 articles.
1. Gaouar, N., Lehsaini, M.: Toward vehicular cloud/fog communication: a survey on data dissemination in vehicular ad hoc networks using vehicular cloud/fog computing. Int. J. Commun. Syst. 34(13), e4906 (2021)
2. Hou, X., Li, Y., Chen, M., Wu, D., Jin, D., Chen, S.: Vehicular fog computing: a viewpoint of vehicles as the infrastructures. IEEE Trans. Veh. Technol. 65(6), 3860–3873 (2016)
3. Kanyilmaz, A., Cetin, A.: Fog based architecture design for iot with private nodes: a smart home application. In: 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), pp. 194–198. IEEE (2019)
4. Laroui, M., Nour, B., Moungla, H., Cherif, M.A., Afifi, H., Guizani, M.: Edge and fog computing for iot: a survey on current research activities & future directions. Comput. Commun. 180, 210–231 (2021)
5. Lee, S.s., Lee, S.: Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information. IEEE Internet Things J. 7(10), 10450–10464 (2020)
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