Author:
Singh Jagdeep,Singh Parminder
Reference28 articles.
1. Aazam M, Zeadally S, Harras KA (2018) Offloading in fog computing for IoT: review, enabling technologies, and research opportunities. Future Gener Comput Syst 87:278–289. https://doi.org/10.1016/j.future.2018.04.057
2. Ahmed A, Arkian H, Battulga D, Fahs AJ, Farhadi M, Giouroukis D, Gougeon A, Gutierrez FO, Pierre G, Souza PR, Tamiru MA, Wu L (2019) Fog computing applications: taxonomy and requirements. 1–16. http://arxiv.org/abs/1907.11621
3. Akintoye SB, Bagula A (2019) Improving quality-of-service in cloud/fog computing through efficient resource allocation. Sensors (Switzerland) 19(6). https://doi.org/10.3390/s19061267
4. Bashir H, Lee S, Kim KH (2019) Resource allocation through logistic regression and multicriteria decision making method in IoT fog computing. Trans Emerg Telecomun Technol 1–14. https://doi.org/10.1002/ett.3824
5. Chen X, Leng S, Zhang K, Xiong K (2019) A machine-learning based time constrained resource allocation scheme for vehicular fog computing. China Commun 16(11), 29–41. https://doi.org/10.23919/JCC.2019.11.003
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