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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Proceedings ArticleDOI
Secure and Lightweight HMAC Mutual Authentication Protocol for Communication between IoT Devices and Fog Nodes
TL;DR: The architecture, characteristic of fog computing, the key differences between the Fog model and Cloud Computing, the role-played for the internet of things and a wide range of applications of fog Computing are reviewed.
Proceedings ArticleDOI
Automatic Application Placement and Adaptation in Cloud-Edge Environments
Sebastian Meixner,Daniel Schall,Fei Li,Vasileios Karagiannis,Stefan Schulte,Konstantinos Plakidas +5 more
TL;DR: This work introduces an automatic deployment framework along with a prototype implementation, called D-DAD, which provides a transparent way to deploy applications with respect to all their requirements—including the non-functional—using mechanisms for monitoring and adapting the deployments to the available resources in a cloud-edge environment.
Proceedings ArticleDOI
Global Orchestration of Cooperative Defense against DDoS Attacks for MEC
TL;DR: A global orchestration (GO) mechanism to make full use of freedom degrees of cooperative defense with respect to the number of cooperative participants and the amount of cooperative resource and a scalable approximation algorithm based on the mini-bucket elimination algorithm are proposed.
Book ChapterDOI
F2CDM: Internet of Things for Healthcare Network Based Fog-to-Cloud and Data-in-Motion Using MQTT Protocol
TL;DR: An IoT architecture for healthcare network based on Fog to Cloud and Data in Motion (F2CDM) is proposed and it has been found that the proposed architecture reduces traffic on Cloud network and provides better data analysis.
Posted Content
Maintaining Data Integrity in Fog Computing Based Critical Infrastructure Systems
TL;DR: This study introduces a unique model that uses fog computing in smart cities to manage utility service companies and consumer data and proposes a novel technique to assess damage to data caused by an attack.
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
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