A Survey on Computation Offloading for Vehicular Edge Computing-Reference-Cited by-同舟云学术

A Survey on Computation Offloading for Vehicular Edge Computing

Published:2019-12-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City
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Author:

Yuan Shuang¹,Fan Yanfang¹,Cai Ying¹

Affiliation:

1. School of Computer Science, Beijing Information Science & Technology University, Beijing, China

Funder

Beijing Key Laboratory of Security and Privacy in Intelligent Transportation (Beijing Jiaotong University, 3 Shangyuancun, Beijing 100044, China)

National Natural Science Foundation of China under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377170.3377228

Reference46 articles.

1. Chen M. and Hao Y. 2018. Task offloading for mobile edge computing in software defined ultra-dense network. IEEE J. Sel. Areas Commun. 36 (Mar.2018) 587--597. DOI= http://doi.acm.org/10.1109/jsac.2018.2815360. Chen M. and Hao Y. 2018. Task offloading for mobile edge computing in software defined ultra-dense network. IEEE J. Sel. Areas Commun. 36 (Mar.2018) 587--597. DOI= http://doi.acm.org/10.1109/jsac.2018.2815360.

2. Edge Computing: Vision and Challenges

3. Hu Y. Patel M. and Young V. 2015. Mobile edge computing-a key technology towards 5g. ETSI white paper 11 1--16. Hu Y. Patel M. and Young V. 2015. Mobile edge computing-a key technology towards 5g. ETSI white paper 11 1--16.

4. Energy-Saving Offloading by Jointly Allocating Radio and Computational Resources for Mobile Edge Computing

5. Social big-data-based content dissemination in internet of vehicles;Zhou Z.;IEEE Trans. Ind. Informat. 14,2018

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