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
On the Similarities and Differences Between the Cloud, Fog and the Edge
Sašo Stanovnik,Matija Cankar +1 more
TL;DR: A broad overview of currently available commercial and open-source platforms implementing the edge or fog paradigms is made, identifying key players, successful niche actors and general trends for feature-level and technical development of these platforms.
Journal ArticleDOI
Dynamic Fault Tolerance Aware Scheduling for Healthcare System on Fog Computing
Hadeel T. Rajab,Manal F. Younis +1 more
TL;DR: A replication FT technique called primary-backup replication based on dynamic checkpoint interval on FC, which showed that the execution time of data filtering process on the FC with a dynamic checkpoint is less than the time spent in the case of the static checkpoint that is independent on the CPU status.
Proceedings ArticleDOI
Real-World Applications and Research Challenges of Fog/Edge Services
TL;DR: The exponential growth in the Internet of Things (IoT) and rich availability of cloud services pushed the horizon of computing paradigm to Fog/Edge computing, where computing, storage, and network control can be carried at the edge of the network nearer to the end-devices.
Journal ArticleDOI
Hybrid wireless aided volunteer computing paradigm
A. A. Periola,Olabisi E. Falowo +1 more
TL;DR: The fractionated computing system (FCS) is proposed, which incorporates intelligent compute node selection and uses high performance end-user computing nodes (laptops) to process the crowd-sourced data and enhances memory resources accessible for data processing.
Proceedings ArticleDOI
Live Demonstration of Service Function Chaining allocation in Fog Computing
TL;DR: The approach allows Kubernetes to deploy micro-services based on up-to-date information on the current status of the network infrastructure, which allows providers to benefit from the high flexibility and low operational costs introduced by network softwarization.
References
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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.