A New Era for Cities with Fog Computing
M. Yannuzzi, Frank van Lingen, Anuj Kumar Jain, Oriol Lluch Parellada, Manel Mendoza Flores, David Carrera, Juan Luis Pérez-Ordóñez, Diego Montero, Pablo Chacín, Angelo Corsaro, Albert Olive · IEEE Internet Computing · 2017
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.