Quantitative analysis for capabilities of vehicular fog computing-Reference-Cited by-同舟云学术

Quantitative analysis for capabilities of vehicular fog computing

Published:2019-10 Issue: Volume:501 Page:742-760
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xiao Xuefeng,Hou Xueshi,Chen Xinlei,Liu Chenhao,Li Yong^ORCID

Funder

National Natural Science Foundation of China (NSFC)

NNSF

863

Tsinghua University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference33 articles.

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3. A survey of mobile cloud computing: architecture, applications, and approaches;Dinh;Wireless Commun. Mobile Comput.,2013

4. Policy-driven security management for fog computing: preliminary framework and a case study;Dsouza,2014

5. Dynamic mobile cloud computing: ad hoc and opportunistic job sharing;Fernando,2011

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1. Profit optimized task scheduling for vehicular fog computing;Wireless Networks;2024-06-21

2. An Efficient Caching and Offloading Resource Allocation Strategy in Vehicular Social Networks;IEEE Transactions on Vehicular Technology;2024

3. A Lightweight Energy-Efficient Technique for QoS Enhancement in Urban VFC for Intelligent Transportation System;Journal of Network and Systems Management;2023-07-26

4. Scaling and Placing Distributed Services on Vehicle Clusters in Urban Environments;IEEE Transactions on Services Computing;2023-03-01

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