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Fog Computing for Sustainable Smart Cities: A Survey

TLDR
Several inspiring use case scenarios of Fog computing are described, several major functionalities that ideal Fog computing platforms should support and a number of open challenges towards implementing them are identified to shed light on future research directions on realizing Fog computing for building sustainable smart cities.
Abstract
The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities. These objects are expected to generate large amounts of data and send the data to the cloud for further processing, specially for knowledge discovery, in order that appropriate actions can be taken. However, in reality sensing all possible data items captured by a smart object and then sending the complete captured data to the cloud is less useful. Further, such an approach would also lead to resource wastage (e.g. network, storage, etc.). The Fog (Edge) computing paradigm has been proposed to counterpart the weakness by pushing processes of knowledge discovery using data analytics to the edges. However, edge devices have limited computational capabilities. Due to inherited strengths and weaknesses, neither Cloud computing nor Fog computing paradigm addresses these challenges alone. Therefore, both paradigms need to work together in order to build an sustainable IoT infrastructure for smart cities. In this paper, we review existing approaches that have been proposed to tackle the challenges in the Fog computing domain. Specifically, we describe several inspiring use case scenarios of Fog computing, identify ten key characteristics and common features of Fog computing, and compare more than 30 existing research efforts in this domain. Based on our review, we further identify several major functionalities that ideal Fog computing platforms should support and a number of open challenges towards implementing them, so as to shed light on future research directions on realizing Fog computing for building sustainable smart cities.

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Citations
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All one needs to know about fog computing and related edge computing paradigms: A complete survey

TL;DR: This paper provides a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provides a taxonomy of research topics in fog computing.
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The Future of Healthcare Internet of Things: A Survey of Emerging Technologies

TL;DR: The Internet of Nano Things and Tactile Internet are driving the innovation in the H-IoT applications and the future course for improving the Quality of Service (QoS) using these new technologies are identified.
Journal ArticleDOI

Fog Computing for Sustainable Smart Cities: A Survey

TL;DR: Several inspiring use case scenarios of Fog computing are described, several major functionalities that ideal Fog computing platforms should support and a number of open challenges toward implementing them are identified to shed light on future research directions on realizing Fog computing for building sustainable smart cities.
Posted Content

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

TL;DR: The recent advances of federated learning towards enabling Federated learning-powered IoT applications are presented and a set of metrics such as sparsification, robustness, quantization, scalability, security, and privacy, is delineated in order to rigorously evaluate the recent advances.
Journal ArticleDOI

PortoLivingLab: An IoT-Based Sensing Platform for Smart Cities

TL;DR: The architecture and composing elements of PortoLivingLab are described, highlighting the IoT technologies, and challenges faced, and the future lines of work that will strive for finding hidden phenomena by leveraging data from the three complementary platforms are laid out.
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Fog computing and its role in the internet of things

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