The primary objective of this paper is to present a fresh overview of the very recent literature about the integration of mobile internet of things (MIoT) and cloud computing towards scalability, by specifically concentrating on solutions based on the exploitation of edge computing capabilities (fog computing) to effectively integrate device localities with the global cloud resources. In addition to surveying the state-of-the-art of fog computing for MIoT and cloud integration, the paper will propose an original architecture and classification of possible solutions in the field, by reporting lessons learned from the few existing experiences and by shedding new light on specific sub-fields of research where advancements are needed to effectively integrate huge numbers of geographically dispersed mobile devices and globally available cloud resources.

Integrating mobile internet of things and cloud computing towards scalability: lessons learned from existing fog computing architectures and solutions

Bellavista, Paolo
;
Corradi, Antonio;Zanni, Alessandro
2017

Abstract

The primary objective of this paper is to present a fresh overview of the very recent literature about the integration of mobile internet of things (MIoT) and cloud computing towards scalability, by specifically concentrating on solutions based on the exploitation of edge computing capabilities (fog computing) to effectively integrate device localities with the global cloud resources. In addition to surveying the state-of-the-art of fog computing for MIoT and cloud integration, the paper will propose an original architecture and classification of possible solutions in the field, by reporting lessons learned from the few existing experiences and by shedding new light on specific sub-fields of research where advancements are needed to effectively integrate huge numbers of geographically dispersed mobile devices and globally available cloud resources.
2017
Bellavista, Paolo; Corradi, Antonio; Zanni, Alessandro
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/631110
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact