With significant and continuing advances in information and communication technologies, the Internet of Things (IoT) will play an increasingly important role in domains, such as healthcare, transportation, finance, and energy. In an IoT system, billions of devices (e.g., sensors, wearables, and smart appliances) are connected to the global network infrastructure, and one associated phenomenon is the generation of a large volume of data. Apart from data volume, the velocity, variety, and veracity of these data will pose a significant burden on conventional networking infrastructures. However, as sensor and fifth-generation (5G) cellular technologies advance, so will the pervasiveness of IoT deployment. Parallel to this trend, cloud computing has been integrated with IoT in order to address limitations in existing IoT networks (e.g., storage and computing resources), and examples include Google cloud dataflow and Amazon IoT. However, cloud-centric IoT solutions may not be suited for delay-sensitive and computationally intensive applications, for example, due to resource availability, end-to-end latency, bandwidth, etc. Increasingly, large-scale IoT deployments demand high connectivity, interoperability, and orchestration which are necessary for minimizing latency and maximizing throughput. This highlights the importance of a distributed computing platform that can support the interactions between IoT and cloud computing systems.

中文翻译：

---

关于基于 SDN 和 NFV 的下一代物联网应用边缘云交互的客座社论特刊


随着信息和通信技术的显着和持续进步，物联网 (IoT) 将在医疗保健、交通、金融和能源等领域发挥越来越重要的作用。在物联网系统中，数十亿个设备（例如传感器、可穿戴设备和智能家电）连接到全球网络基础设施，其中一个相关现象就是产生大量数据。除了数据量之外，这些数据的速度、多样性和准确性也将对传统网络基础设施造成重大负担。然而，随着传感器和第五代 (5G) 蜂窝技术的进步，物联网部署也将变得普遍。与这一趋势并行的是，云计算已与物联网集成，以解决现有物联网网络（例如存储和计算资源）的限制，例如谷歌云数据流和亚马逊物联网。然而，以云为中心的物联网解决方案可能不适合延迟敏感和计算密集型应用，例如，由于资源可用性、端到端延迟、带宽等原因。大规模物联网部署越来越需要高连接性，互操作性和编排对于最小化延迟和最大化吞吐量是必要的。这凸显了支持物联网和云计算系统之间交互的分布式计算平台的重要性。