The availability of suitable monitoring tools and techniques will be crucial to orchestrate multi-service applications in a context- and QoS-aware manner over new Fog infrastructures. In this paper, we propose FogMon, a lightweight distributed prototype monitoring tool, which measures data about hardware resources (viz., CPU, RAM, HDD) at the available Fog nodes, end-to-end network QoS (viz., latency and bandwidth) between those nodes, and detects connected IoT devices. FogMon is organised into a peer-to-peer architecture and it shows a very limited footprint on both hardware and bandwidth. The usage of FogMon on a real testbed is presented.
Measuring the Fog, Gently
Brogi A.;Forti S.
;
2019-01-01
Abstract
The availability of suitable monitoring tools and techniques will be crucial to orchestrate multi-service applications in a context- and QoS-aware manner over new Fog infrastructures. In this paper, we propose FogMon, a lightweight distributed prototype monitoring tool, which measures data about hardware resources (viz., CPU, RAM, HDD) at the available Fog nodes, end-to-end network QoS (viz., latency and bandwidth) between those nodes, and detects connected IoT devices. FogMon is organised into a peer-to-peer architecture and it shows a very limited footprint on both hardware and bandwidth. The usage of FogMon on a real testbed is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
