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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Journal ArticleDOI
Feedback-Based Resource Utilization for Smart Home Automation in Fog Assistance IoT-Based Cloud
TL;DR: The proposed feedback-based resource management plan provides a novel resource management technique, consisting of an integrated architecture and maintains the service-level agreement (SLA) that can optimize energy consumption, response time, network bandwidth, security, and reduce latency.
Journal ArticleDOI
A fuzzy approach for optimal placement of IoT applications in fog-cloud computing
TL;DR: A fuzzy approach is developed to classify applications based on their characteristics then an efficient heuristic algorithm is proposed to place applications on the virtualized computing resources to provide a high quality of service while the profit of fog service providers is maximized by minimizing resource wastage.
Journal ArticleDOI
Resource Provisioning and Scheduling Techniques of IoT Based Applications in Fog Computing
TL;DR: This article will help to select the most suitable technique for processing smart IoT based applications in Fog computing environments.
Proceedings ArticleDOI
Fog-assisted Congestion Avoidance Scheme for Internet of Vehicles
TL;DR: This paper presents a fog-assisted congestion avoidance scheme for IoV named Energy Efficient Message Dissemination (E2MD), which opts a distributed approach by employing a fog server to complement services in IoVs to minimize congestion and messaging delay.
Book ChapterDOI
Energy-Aware Resource Scheduling in FoG Environment for IoT-Based Applications
TL;DR: In this article, various energy-aware resource allocation schemes have been discussed for the comprehensive utilization of the resources in the FoG systems-based smart cities, which suggest different mechanisms to access the required contents with minimal energy consumptions for the applications that are used in smart cities.
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.