참고문헌
- M. Yao, M. Sohul, V. Marojevic, and J. H. Reed, "Artificial intelligence defined 5G radio access networks," IEEE Communications Magazine, vol. 57, no. 3, pp. 14-20, 2019. https://doi.org/10.1109/mcom.2019.1800629
- M. H. ur Rehman, I. Yaqoob, K. Salah, M. Imran, P. P. Jayaraman, and C. Perera, "The role of big data analytics in industrial Internet of Things," Future Generation Computer Systems, vol. 99, pp. 247-259, 2019. https://doi.org/10.1016/j.future.2019.04.020
- Y. Zhang, X. Ma, J. Zhang, M. S. Hossain, G. Muhammad, and S. U. Amin, "Edge intelligence in the cognitive Internet of Things: improving sensitivity and interactivity," IEEE Network, vol. 33, no. 3, pp. 58-64, 2019. https://doi.org/10.1109/mnet.2019.1800344
- A. H. Sodhro, S. Pirbhulal, and V. H. C. de Albuquerque, "Artificial intelligence-driven mechanism for edge computing-based industrial applications," IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4235-4243, 2019. https://doi.org/10.1109/TII.2019.2902878
- Y. Dai, D. Xu, S. Maharjan, G. Qiao, and Y. Zhang, "artificial intelligence empowered edge computing and caching for Internet of vehicles," IEEE Wireless Communications, vol. 26, no. 3, pp. 12-18, 2019. https://doi.org/10.1109/mwc.2019.1800411
- R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, and S. Vishwakarma, "Computational intelligence in cloud computing," in Recent Advances in Intelligent Engineering. Cham: Springer International Publishing, 2020, pp. 111-127.
- M. Satyanarayanan and N. Davies, "Augmenting cognition through edge computing," Computer, vol. 52, no. 7, pp. 37-46, 2019. https://doi.org/10.1109/mc.2019.2911878
- A. Kaplan and M. Haenlein, "Siri, Siri, in my hand: who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence," Business Horizons, vol. 62, no. 1, pp. 15-25, 2019. https://doi.org/10.1016/j.bushor.2018.08.004
- H. Gacanin and M. Wagner, "Artificial intelligence paradigm for customer experience management in nextgeneration networks: challenges and perspectives," IEEE Network, vol. 33, no. 2, pp. 188-194, 2019. https://doi.org/10.1109/MNET.2019.1800015
- W. C. Chien, C. F. Lai, and H. C. Chao, "Dynamic resource prediction and allocation in C-RAN with edge artificial intelligence," IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4306-4314, 2019. https://doi.org/10.1109/TII.2019.2913169
- Z. Li, L. Liu, and D. Kong, "Virtual machine failure prediction method based on AdaBoost-Hidden Markov model," in Proceedings of 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Changsha, China, 2019, pp. 700-703.
- A. A. Mutlag, M. K. Abd Ghani, N. Arunkumar, M. A. Mohammed, and O. Mohd, "Enabling technologies for fog computing in healthcare IoT systems," Future Generation Computer Systems, vol. 90, pp. 62-78, 2019. https://doi.org/10.1016/j.future.2018.07.049
- Q. D. La, M. V. Ngo, T. Q. Dinh, T. Q. S. Quek, and H. Shin, "Enabling intelligence in fog computing to achieve energy and latency reduction," Digital Communications and Networks, vol. 5, no. 1, pp. 3-9, 2019. https://doi.org/10.1016/j.dcan.2018.10.008
- A. M. Rahmani, T. N. Gia, B. Negash, A. Anzanpour, I. Azimi, M. Jiang, and P. Liljeberg, "Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: a fog computing approach," Future Generation Computer Systems, vol. 78, pp. 641-658, 2018. https://doi.org/10.1016/j.future.2017.02.014
- A. Kumari, S. Tanwar, S. Tyagi, and N. Kumar, "Fog computing for Healthcare 4.0 environment: opportunities and challenges," Computers & Electrical Engineering, vol. 72, pp. 1-13, 2018. https://doi.org/10.1016/j.compeleceng.2018.08.015
- Q. Cui, Z. Gong, W. Ni, Y. Hou, X. Chen, X. Tao, and P. Zhang, "Stochastic online learning for mobile edge computing: learning from changes," IEEE Communications Magazine, vol. 57, no. 3, pp. 63-69, 2019. https://doi.org/10.1109/mcom.2019.1800644
- Z. Yin, H. Chen, and F. Hu, "An advanced decision model enabling two-way initiative offloading in edge computing," Future Generation Computer Systems, vol. 90, pp. 39-48, 2019. https://doi.org/10.1016/j.future.2018.07.031
- Y. Liu, C. Yang, L. Jiang, S. Xie, and Y. Zhang, "Intelligent edge computing for IoT-based energy management in smart cities," IEEE Network, vol. 33, no. 2, pp. 111-117, 2019. https://doi.org/10.1109/mnet.2019.1800254
- L. Hu, Y. Miao, G. Wu, M. M. Hassan, and I. Humar, "iRobot-Factory: an intelligent robot factory based on cognitive manufacturing and edge computing," Future Generation Computer Systems, vol. 90, pp. 569-577, 2019. https://doi.org/10.1016/j.future.2018.08.006
- W. C. Chien, H. H. Cho, C. F. Lai, F. H. Tseng, H. C. Chao, M. M. Hassan, and A. Alelaiwi, "Intelligent architecture for mobile HetNet in B5G," IEEE Network, vol. 33, no. 3, pp. 34-41, 2019. https://doi.org/10.1109/mnet.2019.1800364
- W. Zhang, Z. Zhang, S. Zeadally, H. C. Chao, and V. C. M. Leung, "MASM: A multiple-algorithm service model for energy-delay optimization in edge artificial intelligence," IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4216-4224, 2019. https://doi.org/10.1109/TII.2019.2897001