Fog Computing: A Taxonomy, Survey and Future Directions
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TLDR
In this paper, the challenges in fog computing acting as an intermediate layer between IoT devices/sensors and cloud datacentres and review the current developments in this field are discussed.Abstract:
In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named "Fog computing" has been introduced. Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, storage and networking facilities. In this chapter, we comprehensively analyse the challenges in Fogs acting as an intermediate layer between IoT devices/ sensors and Cloud datacentres and review the current developments in this field. We present a taxonomy of Fog computing according to the identified challenges and its key features.We also map the existing works to the taxonomy in order to identify current research gaps in the area of Fog computing. Moreover, based on the observations, we propose future directions for research.read more
Citations
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Book ChapterDOI
FOG-EE Computing: Fog, Edge and Elastic Computing, New Age Cloud Computing Paradigms
Shristi Achari,Rahul Johari +1 more
Journal ArticleDOI
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TL;DR: In this paper , the authors compared the accuracy and efficacy of two existing IoT models: an existing cloud IoT model, a MEC-based and local edge cloud (EC)IoT model, was simulated using iFogSim.
Proceedings ArticleDOI
Data Protection Methods and Intrusion Detection Systems Employing Machine Learning and Deep Learning in the IoT: A Comparative Review
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Dissertation
Efficient cloud application deployment in distributed fog infrastructures
TL;DR: This thesis explores the reasons for slow deployment and identifies three improvement opportunities: improving the Docker cache hit rate; speed-up the image installation operation; and accelerate the application boot phase after the creation of a container.
References
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Proceedings ArticleDOI
Fog computing and its role in the internet of things
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Book ChapterDOI
Fog Computing and Its Role in the Internet of Things
TL;DR: This chapter argues that the above characteristics make the Fog the appropriate platform for a number of critical internet of things services and applications, namely connected vehicle, smart grid, smart cities, and in general, wireless sensors and actuators networks (WSANs).
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iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
TL;DR: In this paper, the authors propose a simulator, called iFogSim, to model IoT and fog environments and measure the impact of resource management techniques in latency, network congestion, energy consumption, and cost.
Journal ArticleDOI
Edge-centric Computing: Vision and Challenges
Pedro García López,Alberto Montresor,Dick Epema,Anwitaman Datta,Teruo Higashino,Adriana Iamnitchi,Marinho P. Barcellos,Pascal Felber,Etienne Rivière +8 more
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