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Enabling Collaborative Edge Computing for Software Defined Vehicular Networks

Wang, Kai ; Yin, Hao ; Quan, Wei ; Min, Geyong

IEEE network, 2018-09, Vol.32 (5), p.112-117 [Periódico revisado por pares]

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Título:
Enabling Collaborative Edge Computing for Software Defined Vehicular Networks
Autor: Wang, Kai ; Yin, Hao ; Quan, Wei ; Min, Geyong
Assuntos: Ad hoc networks ; Anchors ; Cloud computing ; Collaboration ; Computation ; Computer architecture ; Edge computing ; Network function virtualization ; Servers ; Vehicles ; Wireless networks
É parte de: IEEE network, 2018-09, Vol.32 (5), p.112-117
Descrição: 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.
Editor: New York: IEEE
Idioma: Inglês

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