Towards smarter cities taking advantage of the Fog Computing paradigm

  • Shouddy Tárano León Universidad Tecnológica de La Habana
  • Tatiana Delgado Fernández Universidad Tecnológica de La Habana
  • Alejandro Luar Pérez Colomé Universidad Tecnológica de La Habana
Keywords: Fog computing; cloud computing; smartcities.


The fog computing term has achieved importance in the last years due to its effect in the latency reduction that the Internet of Things [IoT] applications have. These applications demand real-time (or nearly real-time) responses and they are characterized by low bandwidth consumption; hence, the fog computing is relevant in achieving these requests because part of the processing is done near the end user devices. For this reason, the cloud computing paradigm is not enough for some applications, since nowadays, the instant need of data and the decision-making process leverage –or somehow discover– a new horizon that demands a complementary variable. This article consists on an approach to the fog computing term, together with the requirements analysis for engineering solutions in the IoT field. Also, its impact in the smart cities and other fields plus its main challenges are addressed. We also present a guideline to implement a recommendation system for sightseeing places for tourists based in fog computing embraced in a large smart city project located in Havana.


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Author Biographies

Shouddy Tárano León, Universidad Tecnológica de La Habana

Informatics Engineer, professor in Computing Sciences and senior consultant in information technologies. Specialized in free and open source technologies for a high scale informatics solutions. His scientific production includes: graphs by computer, information’s architecture, smart systems, optimization and high development computing. His working area in focused in informatics systems with a high level of integration and a high level of heterogeneity involving several technology providers including: virtualization, networks, operational systems, security, cloud computing and system’s performance analysis.

Tatiana Delgado Fernández, Universidad Tecnológica de La Habana

Engineer in Automated Systems in Management from former Instituto Politécnico José Antonio Echevarría (Havana, Cuba). She holds a Master’s degree in Optimization and Decision Making, and a Ph.D., in Technical Sciences. She is an associated professor at the Business Information Department of the Universidad Tecnológica de La Habana and Vice President of the Union de Informáticos de Cuba. Her areas of interest are: spatial data infrastructures, Big Data, ontologies, smart cities and IT governance. 

Alejandro Luar Pérez Colomé, Universidad Tecnológica de La Habana

Student of fifth year of Telecommunications and Electronics Engineering at the Universidad Tecnológica de la Habana (Cuba), where he has participated in several scientific working days. His work about the new kinds of telecommunications attacks obtained an award in one of them. He is currently a member of the Telematics Research Group of the University. His interests in research include the Internet of Things, fog computing, Big Data and content distribution networks.


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