scispace - formally typeset
Open AccessBook ChapterDOI

Fog Computing: A Taxonomy, Survey and Future Directions

Reads0
Chats0
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
More filters
Journal ArticleDOI

A Review of Privacy-Preserving Aggregation Schemes for Smart Grid

TL;DR: This article reviews the literature on privacy-preserving data aggregation schemes against internal and external attackers and presents the information security requirements for Advanced Metering Infrastructure (AMI) and its operation.
Journal ArticleDOI

E2R‐F2N: Energy‐efficient retailing using a femtolet‐based fog network

TL;DR: This paper proposes an automated retail system using a femtolet‐based fog network, which reduces power by approximately 89% and 94%, respectively, in comparison to the local cloud server–based and remote cloud server-based retail systems.
Book ChapterDOI

Autonomic IoT Battery Management with Fog Computing

TL;DR: This paper presents a Fire Alarm fog System, for a Smart Home, with the development of an IoT device hardware, and a fog system is also developed with a website, that displays the sensor values, and the estimated battery life of the IoT device.
Journal ArticleDOI

A full comparison study of service discovery approaches for internet of things

TL;DR: A new definition and a new classification of IoT services and citation of their features comparing with the traditional Web services are presented and the main challenges that face the service discovery issue in the IoT domain are discussed.
Journal ArticleDOI

The four-C framework for high capacity ultra-low latency in 5G networks: A review

TL;DR: The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability, and the Four (4) C framework consisting of cost, complexity, cross-layer and computing is analyzed and discussed.
References
More filters
Journal ArticleDOI

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

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.
Related Papers (5)