A Learning-Based Approach for Vehicle-to-Vehicle Computation Offloading-Reference-Cited by-同舟云学术

A Learning-Based Approach for Vehicle-to-Vehicle Computation Offloading

Author:

Dai Xingxia¹^ORCID,Xiao Zhu¹^ORCID,Jiang Hongbo¹^ORCID,Chen Hongyang²^ORCID,Min Geyong³^ORCID,Dustdar Schahram⁴^ORCID,Cao Jiannong⁵

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. Research Center for Graph Computing, Zhejiang Lab, Hangzhou, China

3. Department of Computer Science, College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, U.K.

4. Research Division of Distributed Systems, TU Wien, Vienna, Austria

5. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

Funder

National Natural Science Foundation of China

Key Research and Development Project of Hunan Province of China

Hunan Natural Science Foundation of China

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Shenzhen Science and Technology Program

CAAI-Huawei MindSpore Open Fund

Funding Projects of Zhejiang Lab

Humanities and Social Sciences Foundation of the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference53 articles.

4. VECMAN: A framework for energy-aware resource management in vehicular edge computing systems;bahreini;IEEE Trans Mobile Comput,2021

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