Vehicle edge server deployment based on reinforcement learning in cloud-edge collaborative environment-Reference-Cited by-同舟云学术

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Vehicle edge server deployment based on reinforcement learning in cloud-edge collaborative environment

Published:2024-07-24 Issue: Volume: Page:
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Guo Feiyan,Tang Bing,Wang Ying,Luo Xiaoqing

Funder

Research and Innovation Team for Intelligent Technology of New Energy Vehicles

Natural Science Foundation of Hunan Province

Scientific Research Fund of Hunan Provincial Education Department

Guangdong Province Key Discipline Scientific Research Capability Improvement Project

Innovation Project of Universities in Guangdong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04659-1.pdf

Reference24 articles.

1. Ju, X., Su, S., Xu, C., Wang, H.: Computation offloading and tasks scheduling for the internet of vehicles in edge computing: a deep reinforcement learning-based pointer network approach. Comput. Netw. 223, 109572 (2023). https://doi.org/10.1016/J.COMNET.2023.109572

2. Alam, F., Toosi, A.N., Cheema, M.A., Cicconetti, C., Serrano, P., Iosup, A., Tari, Z., Sarvi, M.: Serverless vehicular edge computing for the internet of vehicles. IEEE Internet Comput. 27(4), 40–51 (2023). https://doi.org/10.1109/MIC.2023.3271641

3. Chang, L., Deng, X., Pan, J., Zhang, Y.: Edge server placement for vehicular ad hoc networks in metropolitans. IEEE Internet Things J. 9(2), 1575–1590 (2022). https://doi.org/10.1109/JIOT.2021.3093155

4. Kong, W., Du, H., Pan, K., Guo, X.: Edge server quantification and placement in vehicle ad hoc networks. In: 8th International Conference on Big Data Computing and Communications, BigCom 2022, Xiamen, China, August 6-7, 2022, pp. 398–406. IEEE, (2022). https://doi.org/10.1109/BIGCOM57025.2022.00056

5. Bahrami, B., Khayyambashi, M.R., Mirjalili, S.: Edge server placement problem in multi-access edge computing environment: models, techniques, and applications. Clust. Comput. 26(5), 3237–3262 (2023). https://doi.org/10.1007/S10586-023-04025-7

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