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.

中文翻译：

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为软件定义的车辆网络启用协作边缘计算


通过将部分存储和计算功能转移到网络边缘，边缘计算具有解决移动车辆网络挑战的巨大潜力。然而，高效利用异构边缘计算架构并部署大规模车联网系统仍然是一个挑战。在本文中，我们重点关注不同边缘计算锚点之间的协作，并提出了一种新颖的协作车辆边缘计算框架，称为 CVEC。具体来说，CVEC 可以通过横向和纵向协作支持更具可扩展性的车辆服务和应用。此外，我们还讨论了支持 CVEC 的架构、原理、机制、特殊情况和潜在的技术推动因素。最后，我们提出了一些研究挑战以及未来的研究方向。