Jain, AnujYannuzzi,, MarceloOlive, AlbertCorsaro, AngeloChacin, PabloMontero Banegas, Diego TeodoroPérez Rico, Juan LuisCarrera, DavidMendoza Flores, ManelLluch Parellada, OriolLingen, Frank Van2021-11-052021-11-0520171089-7801, e 1941-0131http://dspace.ucuenca.edu.ec/handle/123456789/37289https://ieeexplore.ieee.org/document/7867722In 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.es-ESSensorsEdge computingSmart citiesMonitoringCloud computingARTÍCULO10.1109/MIC.2017.25