A New Era for Cities with Fog Computing

In this article, the authors dissect the technical challenges that cities face when implementing smart city plans and outlines the design principles and lessons learned after they carried out a flagship initiative on fog computing in Barcelona. In particular, they analyze what they call the Quadrupl...

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Bibliographic Details
Published inIEEE internet computing Vol. 21; no. 2; pp. 54 - 67
Main Authors Yannuzzi, Marcelo, van Lingen, Frank, Jain, Anuj, Parellada, Oriol Lluch, Mendoza Flores, Manel, Carrera, David, Perez, Juan Luis, Montero, Diego, Chacin, Pablo, Corsaro, Angelo, Olive, Albert
Format Journal Article
LanguageEnglish
Published IEEE 01.03.2017
Subjects
Biological system modeling
Cloud computing
Edge computing
fog computing
Internet of Things
Internet/Web technologies
IoT
Monitoring
Sensors
Smart cities
virtualization
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Summary:In this article, the authors dissect the technical challenges that cities face when implementing smart city plans and outlines the design principles and lessons learned after they carried out a flagship initiative on fog computing in Barcelona. In particular, they analyze what they call the Quadruple Silo (QS) problem -- that is, four categories of silos that cities confront after deploying commercially available solutions. Those silo categories are: physical (hardware) silos, data silos, and service management silos, and the implications of the three silos in administrative silos. The authors show how their converged cloud/fog paradigm not only helps solve the QS problem, but also meets the requirements of a growing number of decentralized services -- an area in which traditional cloud models fall short. The article exposes cases in which fog computing is a must, and shows that the reasons for deploying fog are centered much more on operational requirements than on performance issues related to the cloud.
ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2017.25