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

Authors: Paolo Bellavista; Antonio Corradi; Alessandro Zanni

Addresses: Department Computer Science and Engineering (DISI), University of Bologna, Viale del Risorgimento, 2, 40136 Bologna, Italy ' Department Computer Science and Engineering (DISI), University of Bologna, Viale del Risorgimento, 2, 40136 Bologna, Italy ' Department Computer Science and Engineering (DISI), University of Bologna, Viale del Risorgimento, 2, 40136 Bologna, Italy

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 (fogcomputing) 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.

Keywords: cloud computing; fog computing; internet of things; IoT; mobile IoT support; scalability.

DOI: 10.1504/IJCC.2017.090198

International Journal of Cloud Computing, 2017 Vol.6 No.4, pp.393 - 406

Available online: 23 Feb 2018 *

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