Enabling Low-latency Applications in Vehicular Networks Based on Mixed Fog/Cloud Computing Systems-Reference-Cited by-同舟云学术

Enabling Low-latency Applications in Vehicular Networks Based on Mixed Fog/Cloud Computing Systems

Published:2022-04-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Hu Bintao¹,Du Jianbo²,Chu Xiaoli¹

Affiliation:

1. University of Sheffield,Department of Electronic and Electrical Engineering,Sheffield,UK

2. Xi’an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security School of Communications and Information Engineering,Xi’an,China,710121

Funder

Natural Science Foundation of Shaanxi Province

Education Department of Shaanxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771889.pdf?arnumber=9771889

Reference19 articles.

1. Computation Offloading for Mobile Edge Computing Enabled Vehicular Networks

2. A Computation Offloading Method for Edge Computing With Vehicle-to-Everything

3. Dpto: A deadline and priority-aware task offloading in fog computing framework leveraging multilevel feedback queueing;adhikari;IEEE IoT,2019

4. Joint Computation Offloading, Power Allocation, and Channel Assignment for 5G-Enabled Traffic Management Systems

5. Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee;du;IEEE TCOM,2017

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