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
Latency-Aware Industrial Fog Application Orchestration with Kubernetes
TL;DR: A fog layer architecture is proposed that manages the computation and deployment of latency-aware industrial applications with Kubernetes, the prevalent container orchestration framework and dynamically solves the resource allocation optimization problem and then deploys distributed containerized applications to automation system networks.
Journal ArticleDOI
SCATTER: Service Placement in Real-Time Fog-Assisted IoT Networks
TL;DR: This paper presents a heuristic algorithm to solve SPP, dubbed as clustering of fog devices and requirement-sensitive service first (SCATTER), and compared the SCATTER with two existing works: edge-ward and cloud-only approaches, in terms of Quality of Service (QoS) metrics.
Journal ArticleDOI
A survey of domains in workflow scheduling in computing infrastructures: Community and keyword analysis, emerging trends, and taxonomies
Laurens Versluis,Alexandru Iosup +1 more
TL;DR: An instrument used to combine and store article meta-data is introduced and open-source and characterized and taxonomize the workflow scheduling community and four areas within workflow scheduling: (1) the workflow formalism, (2) workflow allocation, (3) resource provisioning, and (4) applications and services.
Journal ArticleDOI
Efficient caching method in fog computing for internet of everything
TL;DR: In this article, a popularity based caching is performed in this work by majorly focusing on the interest of the users to reduce the latency in fog computing by clustering of the IoT devices and mapping each cluster with the fog node.
Journal Article
Multi-Tenant IoT Service Management towards an IoT App Economy
TL;DR: This work identifies requirements for a service-oriented site-locally deployed IoT with central global App stores that will become the basis for an IoT App economy and focuses on a multi-tenant setting on all levels: development, distribution, and running.
References
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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).
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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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