Monitoring Fog infrastructure resources in a lightweight and fault-resilient manner is a challenging research problem. In this article, we illustrate the experimental assessment of a distributed, self-organising and fault-tolerant monitoring tool especially targeting Fog environments. The assessment involved up to 40 nodes across two testbeds within the Fed4Fire+ federation. Results show the capability of the tool to handle different types of failures in the monitored infrastructure, and to quantity its measurement accuracy and limited footprint.
Lightweight Self-adaptive Cloud-IoT Monitoring across Fed4FIRE+ Testbeds
Gaglianese, Marco
;Forti, Stefano
;Paganelli, Federica;Brogi, Antonio
2022-01-01
Abstract
Monitoring Fog infrastructure resources in a lightweight and fault-resilient manner is a challenging research problem. In this article, we illustrate the experimental assessment of a distributed, self-organising and fault-tolerant monitoring tool especially targeting Fog environments. The assessment involved up to 40 nodes across two testbeds within the Fed4Fire+ federation. Results show the capability of the tool to handle different types of failures in the monitored infrastructure, and to quantity its measurement accuracy and limited footprint.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
