The digitization of objects has given birth to the concept of the Internet of Things (IoT) which is revolutionizing traditional objects by replacing them with intelligent objects such as smart vehicles, smartphones, smart home…etc. In this context, and with the emergence of vehicle networks, is born the need to increase the vehicular resources in order to benefit from several applications facilitating driving and ensuring the drivers safety, even going to think of the automated driving. The use of cloud computing has become the key solution to the lack of resources required to run compute-intensive applications and the lack of storage space to back up all data related to roads and applications. In addition, we are witnessing the birth of the fog computing paradigm, which brings the functionalities of cloud computing at the edge of the network, thereby solving the latency problem for some time-sensitive applications and also saving the bandwidth of the network because vehicle requests will not need to cross the entire network to be processed at the cloud level. In this paper, we discuss the different principles of cloud/fog computing and compare the two paradigms. We present a classification of data dissemination schemes in vehicular ad hoc networks (VANETs), vehicular cloud, and vehicular fog computing with their different architectures proposed. We finally present several cloud/fog computing applications.

中文翻译：

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面向车载云/雾通信：使用车载云/雾计算的车载自组织网络中的数据传播调查

物体的数字化催生了物联网 (IoT) 的概念，它正在通过智能汽车、智能手机、智能家居等智能物体取代传统物体来彻底改变传统物体。在这种背景下，随着车联网的出现，需要增加车辆资源，以便从促进驾驶和确保驾驶员安全的多种应用中受益，甚至会想到自动驾驶。云计算的使用已经成为解决运行计算密集型应用所需的资源不足，以及缺乏存储空间来备份与道路和应用相关的所有数据的关键解决方案。此外，我们正在见证雾计算范式的诞生，它在网络边缘带来了云计算的功能，从而解决了一些对时间敏感的应用的延迟问题，同时也节省了网络的带宽，因为车辆请求不需要跨越整个网络在云端进行处理。在本文中，我们讨论了云/雾计算的不同原理并比较了两种范式。我们提出了车辆自组织网络 (VANET)、车辆云和车辆雾计算中的数据传播方案的分类，并提出了不同的架构。我们最后展示了几个云/雾计算应用程序。我们讨论了云/雾计算的不同原理并比较了两种范式。我们提出了车辆自组织网络 (VANET)、车辆云和车辆雾计算中的数据传播方案的分类，并提出了不同的架构。我们最后展示了几个云/雾计算应用程序。我们讨论了云/雾计算的不同原理并比较了两种范式。我们提出了车辆自组织网络 (VANET)、车辆云和车辆雾计算中的数据传播方案的分类，并提出了不同的架构。我们最后展示了几个云/雾计算应用程序。