An Efficient Clustering and Deep Learning Based Resource Scheduling for Edge Computing to Integrate Cloud-IoT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09442-8.pdf
Reference25 articles.
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3. Chaudhry, S. A., Yahya, K., Al-Turjman, F., & Yang, M. H. (2020). A secure and reliable device access control scheme for IoT based sensor cloud systems. IEEE Access, 8, 139244–139254.
4. Ray, P. P., Thapa, N., & Dash, D. (2019). Implementation and performance analysis of interoperable and heterogeneous IoT-edge gateway for pervasive wellness care. IEEE Transactions on Consumer Electronics, 65(4), 464–473.
5. Celesti, A., Galletta, A., Carnevale, L., Fazio, M., Ĺay-Ekuakille, A., & Villari, M. (2018). An IoT cloud system for traffic monitoring and vehicular accidents prevention based on mobile sensor data processing. IEEE Sensors Journal, 18(12), 4795–4802.
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