A novel model of Internet access networks is proposed, based on fog computing. The model hosts applications close to users by relying on virtual machines to dynamically move cloud or Web content to nodes located at the edge of access networks. Then it can perform proactive caching and enforce traffic policies based on the interaction between access infrastructure and external applications. By analyzing experimental data collected from public Wi-Fi hotspots, the authors quantify the benefits of this approach for bandwidth usage optimization, latency reduction, and quality of experience enhancement. Experimental results show that a significant portion (from 28 to 50 percent) of download data could be managed by the fog node. On the basis of these findings, useful insights for future-generation access networks are provided.
Improving Quality of Experience in Future Wireless Access Networks through Fog Computing / Iotti, Nicola; Picone, Marco; Cirani, Simone; Ferrari, Gianluigi. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 21:2(2017), pp. 26-33. [10.1109/MIC.2017.38]
Improving Quality of Experience in Future Wireless Access Networks through Fog Computing
Picone Marco;
2017
Abstract
A novel model of Internet access networks is proposed, based on fog computing. The model hosts applications close to users by relying on virtual machines to dynamically move cloud or Web content to nodes located at the edge of access networks. Then it can perform proactive caching and enforce traffic policies based on the interaction between access infrastructure and external applications. By analyzing experimental data collected from public Wi-Fi hotspots, the authors quantify the benefits of this approach for bandwidth usage optimization, latency reduction, and quality of experience enhancement. Experimental results show that a significant portion (from 28 to 50 percent) of download data could be managed by the fog node. On the basis of these findings, useful insights for future-generation access networks are provided.File | Dimensione | Formato | |
---|---|---|---|
IoPiCiFe_CC17.pdf
Accesso riservato
Dimensione
520.37 kB
Formato
Adobe PDF
|
520.37 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris