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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| Vydáno v: | IEEE network Ročník 32; číslo 5; s. 112 - 117 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
IEEE
01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| 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. |
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| 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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