Monitoring will play an enabling role in the orchestration of next-gen Fog applications. Particularly, monitoring of Fog computing infrastructures should deal with platform heterogeneity, scarce resource availability at the edge, and high dynamicity all along the Cloud-IoT continuum. In this article, we describe FogMon, a C++ distributed monitoring prototype targeting Fog computing infrastructures. FogMon monitors hardware resources at different Fog nodes, end-to-end network QoS between such nodes, and connected IoT devices. Besides, it features a self-organising peer-to-peer topology with self-restructuring mechanisms, and differential monitoring updates, which ensure scalability, fault-tolerance and low communication overhead. Experiments on a real testbed show how the footprint of FogMon is limited and how its self-restructuring topology makes it resilient to infrastructure dynamicity.

监视将在下一代Fog应用程序的编排中发挥推动作用。特别是，对Fog计算基础架构的监视应处理平台异质性，边缘资源稀缺以及整个Cloud-IoT连续性的高动态性。在本文中，我们描述了FogMon，这是一个针对Fog计算基础架构的C ++分布式监视原型。FogMon监视不同Fog节点上的硬件资源，这些节点之间的端到端网络QoS以及连接的IoT设备。此外，它还具有自组织的点对点拓扑结构，具有自重组机制和差异监控更新，可确保可伸缩性，容错能力和较低的通信开销。在真实测试台上进行的实验表明，FogMon受到限制，其自我重组的拓扑结构如何使其对基础结构动态性具有弹性。