Fog computing at industrial level, architecture, latency, energy, and security: A review

Gustavo Caiza, Morelva Saeteros, William Oñate, Marcelo V. Garcia

Research output: Contribution to journalArticlepeer-review

64 Scopus citations


The industrial applications in the cloud do not meet the requirements of low latency and reliability since variables must be continuously monitored. For this reason, industrial internet of things (IIoT) is a challenge for the current infrastructure because it generates a large amount of data making cloud computing reach the edge and become fog computing (FC). FC can be considered as a new component of Industry 4.0, which aims to solve the problem of big data, reduce energy consumption in industrial sensor networks, improve the security, processing and storage real-time data. It is a promising growing paradigm that offers new opportunities and challenges, beside the ones inherited from cloud computing, which requires a new heterogeneous architecture to improve the network capacity for delivering edge services, that is, providing computing resources closer to the end user. The purpose of this research is to show a systematic review of the most recent studies about the architecture, security, latency, and energy consumption that FC presents at industrial level and thus provide an overview of the current characteristics and challenges of this new technology.

Original languageEnglish
Article numbere03706
Pages (from-to)e03706
Issue number4
StatePublished - Apr 2020


  • Cloud computing
  • Computer science
  • Fog computing
  • Fog nodes
  • Industry 4.0
  • Smart factories


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