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Article
A Survey on Fog Computing for the Internet of Things
Pervasive and Mobile Computing
  • Paolo Bellavista
  • Javier Berrocal
  • Antonio Corradi
  • Sajal K. Das, Missouri University of Science and Technology
  • Luca Foschini
  • Alessandro Zanni
Abstract

Fog computing has emerged to support the requirements of IoT applications that could not be met by today's solutions. Different initiatives have been presented to drive the development of fog, and much work has been done to improve certain aspects. However, an in-depth analysis of the different solutions, detailing how they can be integrated and applied to meet specific requirements, is still required. In this work, we present a unified architectural model and a new taxonomy, by comparing a large number of solutions. Finally, we draw some conclusions and guidelines for the development of IoT applications based on fog.

Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Comments
This research was supported by the Emilia Romagna POR-FESR 2014-20 (Sacher project, no. J32I16000120009 ), by the Spanish Ministry of Economy, Industry and Competitiveness (TIN2015-69957-R (MINECO/FEDER)), by the Interreg V-A Espana-Portugal (POCTEP) 2014-2020 program (4IE project, 0045-4IE-4-P), by the Department of Economy and Infrastructure of the Government of Extremadura (GR15098 ), and by the European Regional Development Fund .
Keywords and Phrases
  • Fog,
  • Internet of things,
  • Surveying,
  • Surveys,
  • Taxonomies,
  • Architectural modeling,
  • Case-studies,
  • In-depth analysis,
  • IOT applications,
  • Fog computing,
  • IoT case studies
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Elsevier, All rights reserved.
Publication Date
1-1-2019
Publication Date
01 Jan 2019
Disciplines
Citation Information
Paolo Bellavista, Javier Berrocal, Antonio Corradi, Sajal K. Das, et al.. "A Survey on Fog Computing for the Internet of Things" Pervasive and Mobile Computing Vol. 52 (2019) p. 71 - 99 ISSN: 1574-1192
Available at: http://works.bepress.com/sajal-das/22/