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Lightweight self-organising distributed monitoring of Fog infrastructures

机译:轻量级自组织雾基础设施的分布式监控

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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 QpS 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.
机译:监控将在下一代迷雾应用程序的编排中发挥启用作用。特别是,对雾计算基础设施的监测应该处理平台异质性,在边缘处稀缺资源可用性,并且沿着云-IOT连续体遍历的高动力学。在本文中,我们描述了FOG计算基础架构的C ++分布式监控原型的FOGMON。 Fogmon在不同的雾节点中监控硬件资源,在此节点之间的端到端网络QP和连接的IOT设备之间。此外,它具有自组织对等拓扑,具有自我重组机制,以及差分监控更新,可确保可扩展性,容错和低通信开销。在真正的试验台上进行实验,展示了Fogmon的足迹是有限的,以及如何自我重组拓扑如何使其适应基础设施的动态性。

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