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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Veröffentlicht in:	IEEE network Jg. 32; H. 5; S. 112 - 117
Hauptverfasser:	Wang, Kai, Yin, Hao, Quan, Wei, Min, Geyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
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Abstract	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.
AbstractList	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.
Author	Quan, Wei Yin, Hao Wang, Kai Min, Geyong
Author_xml	– sequence: 1 givenname: Kai surname: Wang fullname: Wang, Kai – sequence: 2 givenname: Hao surname: Yin fullname: Yin, Hao – sequence: 3 givenname: Wei surname: Quan fullname: Quan, Wei – sequence: 4 givenname: Geyong surname: Min fullname: Min, Geyong
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SubjectTerms	Ad hoc networks Anchors Cloud computing Collaboration Computer architecture Edge computing Network function virtualization Servers Software-defined networking Vehicles Wireless networks
Title	Enabling Collaborative Edge Computing for Software Defined Vehicular Networks
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