Towards smarter cities taking advantage of the Fog Computing paradigm

Abstract

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.

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

“…• NE04: This is a term used to refer to the fourth generation of the electricity grid and describes the integration of information and communication technologies into the power grid to improve its energy efficiency and reliability [52,59,63,64].…”

Un acercamiento a fog computing

“…Para lidiar con esta problemática, surge un nuevo paradigma de computación que fuera acuñado por Cisco en 2012 como fog computing (Bonomi, Milito, Zhu, & Addepalli, 2012), computación en la niebla (en castellano). Con el fin de disminuir la latencia y el tráfico innecesario de datos en Internet, mediante el aprovechamiento de recursos distribuidos geográficamente más cerca de la fuente, este paradigma complementa a la computación en la nube, sirviendo de capa entre los dispositivos de IoT y la nube (Tárano, Delgado, & Pérez, 2018), (Buyya & Narayana-Srirama, 2019).…”