UGV-awareness task placement in edge-cloud based urban intelligent video systems-Reference-Cited by-同舟云学术

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UGV-awareness task placement in edge-cloud based urban intelligent video systems

Published:2024-03-04 Issue:5 Volume:27 Page:6563-6577
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Zhang Gaofeng,Li Xiang,Xu Liqiang,Liu Ensheng,Zheng Liping,Wu Wenming,Xu Benzhu

Funder

The Fundamental Research Funds for the Central Universities, China

The National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04305-w.pdf

Reference32 articles.

1. Qiao, G., Leng, S., Maharjan, S., et al.: Deep reinforcement learning for cooperative content caching in vehicular edge computing and networks. IEEE Internet Things J. 7(1), 247–257 (2020)

2. Feng, J., Liu, Z., Wu, C., et al.: Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling. IEEE Veh. Technol. Mag. 14(1), 28–36 (2019)

3. Lu, Y., Han, D., Wang, X., et al.: Enhancing vehicular edge computing system through cooperative computation offloading. Clust. Comput. 26, 771–788 (2023)

4. Ning, Z., Huang, J., Wang, X.: Vehicular fog computing: Enabling real-time traffic management for smart cities. IEEE Wirel. Commun. 26(1), 87–93 (2019)

5. Chunhai, L., Siming, W., Feng, Z., et al.: Distributed perception and model inference with intelligent connected vehicles in smart cities. Ad Hoc Netw. 103, 102152 (2020)

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