Open AccessPosted Content
Fog Computing for Sustainable Smart Cities: A Survey
Charith Perera,Yongrui Qin,Julio Cezar Estrella,Stephan Reiff-Marganiec,Athanasios V. Vasilakos +4 more
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.read more
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Journal ArticleDOI
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Ashkan Yousefpour,Caleb Fung,Tam T. Nguyen,Krishna P. Kadiyala,Fatemeh Jalali,Amirreza Niakanlahiji,Jian Kong,Jason P. Jue +7 more
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.
Journal ArticleDOI
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
Charith Perera,Yongrui Qin,Julio Cezar Estrella,Stephan Reiff-Marganiec,Athanasios V. Vasilakos +4 more
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
Pedro M. Santos,João Rodrigues,Susana B. Cruz,Tiago Lourenco,Pedro M. d'Orey,Yunior Luis,Cecília Rocha,Sofia Sousa,Sérgio Crisóstomo,Cristina Queirós,Susana Sargento,Ana Aguiar,Joao Barros +12 more
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.
References
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Paul Zikopoulos,Chris Eaton +1 more
TL;DR: This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.