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
Process Model for Fog Data Analytics for IoT Applications
TL;DR: In this paper, the authors describe a use case of fog data analytics (FDA) for healthcare IoT applications and concluded with current challenges of fog computing for better adoption of the technology, focusing on the deployment of micro clouds (fog nodes) near data sources (network edge).
Proceedings ArticleDOI
Resource Management in Fog Computing: Review
Sabelo Dlamini,Neco Ventura +1 more
TL;DR: This paper reviews the current management and orchestration schemes in Fog computing and their performances, and provides a conclusion on the suitability of a hybrid scheme and how they can be implemented.
Proceedings ArticleDOI
Multiobjective Optimization in the Cloud Computing Environment for Storage Service Selection
TL;DR: The MOWCA algorithm is used which will be run in the Fog-layer and has improvements in both Energy consumption and Load Balancing between solutions while satisfying the spacing metric.
Dissertation
Um arcabouço para compartilhamento eficiente de WLANs Wi-Fi por fatiamento de rede no contexto de redes ultra densas 5G
TL;DR: The WLAN slIcing SErvice (WISE) as mentioned in this paper is a WLAN-based solution for 5G WLANs, which is designed to support virtualization, virtualization and virtualization of the Internet of Things.
Journal ArticleDOI
A multi‐queue priority‐based task scheduling algorithm in fog computing environment
TL;DR: In this article , a multi-queue priority-based preemptive task scheduling approach is proposed to reduce response time for data-intensive applications in the fog computing environment, which include both latency-sensitive tasks and tasks which are less latency sensitive.
References
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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.