With the emergence of the Internet of Things (IoT), billions of heterogeneous physical objects are connected through a network for collecting and sharing information, which can improve various aspects of daily lives, including smart living and transportation, and smart ambient environment, including smart city, smart home, smart agriculture, smart water, waste management, etc. The main objective of the IoT devices is to provide seamless services to the users without their intervention. The all-connected paradigm (i.e., connecting people, things, processes, and data in the network) is based on near Internet ubiquity and includes three types of communication: 1) machine-to-machine; 2) person-to-machine; and 3) person-to-person, and consists as the base for reliable services provision to the end devices at the edge. Fog paradigm implements effectively and efficiently the all-data requests to be shared in a reliable manner as fog implementations complement the cloud computing paradigm by extending computing and caching capabilities to the edges of the network, and it facilitates smart localization decisions and rapid responses. The wide range of IoT services calls for a disruptive, highly efficient, scalable, and flexible communication network able to cope with the increasing demands and the number of connected devices, as well as the diverse and stringent application requirements.

中文翻译：

---

客座社论特刊，关于物联网雾计算的新兴趋势和挑战

随着物联网（IoT）的出现，数十亿个异构物理对象通过网络连接在一起，以收集和共享信息，从而可以改善日常生活的各个方面，包括智能生活和运输，以及包括智能设备在内的智能环境。城市，智能家居，智能农业，智能水，废物管理等。物联网设备的主要目标是在没有用户干预的情况下为用户提供无缝服务。全连接的范式（即，连接网络中的人，物，过程和数据）基于近乎Internet的普遍性，包括三种通信类型：1）机器对机器； 2）机器对机器； 2）机器对机器。2）人对机器；3）人与人之间，并作为向边缘终端设备提供可靠服务的基础。Fog范例通过将计算和缓存功能扩展到网络边缘来补充云计算范例，从而有效，高效地实现了以可靠方式共享的所有数据请求，并有助于智能本地化决策和快速响应。广泛的物联网服务需要一种具有破坏性，高效，可扩展和灵活的通信网络，以应对不断增长的需求和连接设备的数量，以及多样化和严格的应用程序需求。