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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Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges
TL;DR: The potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications are set out.
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Access Control in Fog Computing: Challenges and Research Agenda
TL;DR: The features and challenges of AC models in the fog computing environment are surveyed and the reader is provided with state-of-the-art practices in the field of fog computing AC and helps to identify the existing gaps within the field.
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Towards a Cascading Reasoning Framework to Support Responsive Ambient-Intelligent Healthcare Interventions.
TL;DR: A generic architecture is presented allowing to create a pipeline of reasoning components hosted locally, in the edge of the network, and in the cloud, allowing for responsive intervention by a nurse in alarming situations and the benefits of cascading reasoning for healthcare are analyzed.
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BlendSPS: A BLockchain-ENabled Decentralized Smart Public Safety System
TL;DR: An extensive experimental study verified the feasibility of the proposed BlendSPS that possesses security and privacy proprieties with limited overhead on IoT based edge networks.
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Fuzzy-Based Dynamic Time Slot Allocation for Wireless Body Area Networks
TL;DR: A dynamic time slot allocation scheme in a fog-assisted network for a real-time remote patient monitoring system that eliminates the time slot wastage, excess delay in the network and attributes a high level of reliability to the network with maximum channel utilization is proposed.
References
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Journal ArticleDOI
Edge Computing: Vision and Challenges
TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
Proceedings ArticleDOI
Fog computing and its role in the internet of things
TL;DR: This paper 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).
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).
Journal ArticleDOI
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
TL;DR: This position paper position that a new shift is necessary in computing, taking the control of computing applications, data, and services away from some central nodes to the other logical extreme of the Internet, and refers to this vision of human-centered edge-device based computing as Edge-centric Computing.