Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MIC.2017.25 | IEEE Internet Computing |
Keywords | Field | DocType |
Edge computing,Sensors,Smart cities,Cloud computing,Monitoring,Biological system modeling | Information silo,Edge computing,Virtualization,World Wide Web,Service management,Computer science,Fog computing,Smart city,Silo,Cloud computing | Journal |
Volume | Issue | ISSN |
21 | 2 | 1089-7801 |
Citations | PageRank | References |
32 | 1.53 | 3 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcelo Yannuzzi | 1 | 202 | 21.82 |
| Frank van Lingen | 2 | 33 | 1.87 |
| Anuj Jain | 3 | 58 | 4.69 |
| Oriol Lluch Parellada | 4 | 32 | 1.53 |
| Manel Mendoza Flores | 5 | 32 | 1.53 |
| David Carrera | 6 | 221 | 16.12 |
| Juan Luis Pérez | 7 | 37 | 1.99 |
| D. Montero | 8 | 80 | 5.69 |
| Pablo Chacin | 9 | 32 | 1.53 |
| Angelo Corsaro | 10 | 32 | 1.53 |
| Albert Olive | 11 | 32 | 1.53 |