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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-09222021-150851


Tipo di tesi
Tesi di laurea magistrale
Autore
GAGLIANESE, MARCO
URN
etd-09222021-150851
Titolo
FogMon 2.0, an Improved Monitoring Tool for Fog Infrastructures
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Brogi, Antonio
relatore Dott. Forti, Stefano
Parole chiave
  • Fog computing
  • Internet of Things
  • lightweight monitoring
  • peer-to-peer architectures
Data inizio appello
08/10/2021
Consultabilità
Completa
Riassunto
Infrastructure monitoring will play a crucial enabling role in the orchestration of next-gen Cloud-IoT applications, e.g. in Fog computing. Particularly, monitoring of Fog infrastructures should deal with platform heterogeneity, scarce resource availability at the edge, and high dynamicity all along the Cloud-IoT continuum. This thesis aims at testing, assessing and improving the FogMon monitoring service, a C++ distributed monitoring prototype targeting Fog computing infrastructures that can measure hardware resources at different Fog nodes, end-to-end network QoS between such nodes, and connected IoT devices. To this end, FogMon is thoroughly assessed over federated Cloud-IoT resources against different types of node and link failures within the scope of the "Lightweight Self-adaptive Cloud-IoT Monitoring across Fed4FIRE+ Testbeds" (LiSCIo) experiment, funded by the EU Horizon 2020 project Fed4Fire+. A new improved version of the service, FogMon2.0, is released featuring better monitoring accuracy, greater resiliency to infrastructure failures and self-adaptivity, and a centralized web interface to access experimental data.
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