CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishService deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client Fog Nodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs’ offloading requests satisfaction and offloading delay.
| Titolo: | On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios | |
| Autore/i: | Bozorgchenani, Arash; Tarchi, Daniele; Cerroni, Walter | |
| Autore/i Unibo: | ||
| Anno: | 2021 | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/LCOMM.2021.3055535 | |
| Abstract: | Service deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client Fog Nodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs’ offloading requests satisfaction and offloading delay. | |
| Data stato definitivo: | 2021-05-10T17:44:45Z | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipo | Licenza | |
|---|---|---|---|---|
| 09340334.pdf | Postprint | Licenza per accesso libero gratuito | Embargo: 29/07/2022 Contatta l'autore |
http://hdl.handle.net/11585/793554
Copyright © 2022