Processing capability and QoE driven optimized computation offloading scheme in vehicular fog based F-RAN-Reference-Cited by-同舟云学术

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Processing capability and QoE driven optimized computation offloading scheme in vehicular fog based F-RAN

Published:2020-03-12 Issue:4 Volume:23 Page:2547-2565
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Ye Tianpeng,Lin Xiang,Wu Jun,Li Gaolei,Li Jianhua

Funder

National Key R&D Program of China

Shanghai Committee of Science and Technology

SCST Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s11280-020-00808-9.pdf

Reference35 articles.

1. Abbas, F., Fan, P., Khan, Z.: A novel low-latency V2V resource allocation scheme based on cellular V2X communications. IEEE Trans. Intell. Transp. Syst. 20, 2185–2197 (2019)

2. Abido, M. A.: Optimal power flow using tabu search algorithm. Electric Power Components and Systems 30.5, 469–483 (2002)

3. Bukata, L., Šůcha, P., Hanzálek, Z.: Solving the resource constrained project scheduling problem using the parallel tabu search designed for the CUDA platform. Journal of Parallel and Distributed Computing 77, 58–68 (2015)

4. Chen, M., Yu, X., Liu, Y.: MPE: a mobility pattern embedding model for predicting next locations. World Wide, pp. 1–1 (2018)

5. Dai, Y., Xu, D., Maharjan, S., Qiao, G., Zhang, Y.: Artificial intelligence empowered edge computing and caching for internet of vehicles. IEEE Wirel. Commun. 26, 12–18 (2019)

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2. An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC–MCC environments;Journal of Network and Computer Applications;2024-05

3. Fog Computing Quality of Experience;International Journal of Fog Computing;2023-01-27

4. A novel vehicular task deployment method in hybrid MEC;Journal of Cloud Computing;2022-12-08

5. Task offloading in vehicular fog computing: State-of-the-art and open issues;Future Generation Computer Systems;2022-08

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