Enabling Collaborative Edge Computing for Software Defined Vehicular Networks

Edge computing has great potential to address the challenges in mobile vehicular networks by transferring partial storage and computing functions to network edges. However, it is still a challenge to efficiently utilize heterogeneous edge computing architectures and deploy large-scale IoV systems. I...

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Bibliographic Details
Published in:IEEE network Vol. 32; no. 5; pp. 112 - 117
Main Authors: Wang, Kai, Yin, Hao, Quan, Wei, Min, Geyong
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Ad hoc networks
Anchors
Cloud computing
Collaboration
Computer architecture
Edge computing
Network function virtualization
Servers
Software-defined networking
Vehicles
Wireless networks
ISSN:0890-8044, 1558-156X
Online Access:Get full text
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Summary:Edge computing has great potential to address the challenges in mobile vehicular networks by transferring partial storage and computing functions to network edges. However, it is still a challenge to efficiently utilize heterogeneous edge computing architectures and deploy large-scale IoV systems. In this article, we focus on the collaborations among different edge computing anchors and propose a novel collaborative vehicular edge computing framework, called CVEC. Specifically, CVEC can support more scalable vehicular services and applications by both horizontal and vertical collaborations. Furthermore, we discuss the architecture, principle, mechanisms, special cases, and potential technical enablers to support the CVEC. Finally, we present some research challenges as well as future research directions.
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ISSN:0890-8044
1558-156X
DOI:10.1109/MNET.2018.1700364