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.

Lightweight Distributed Monitoring of Fog Infrastructures

Stefano Forti;Marco Gaglianese;Antonio Brogi
2021-01-01

Abstract

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.
2021
Forti, Stefano; Gaglianese, Marco; Brogi, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1067318
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