scholarly journals Edge Computing: Utilization of the Internet of Things for Time-Sensitive Data Processing

2021 ◽  
Vol 11 (2) ◽  
pp. 59-66
Author(s):  
Apoorva Ganapathy
Keyword(s):  
Internet Of Things ◽  
Computing System ◽  
Edge Computing ◽  
The Internet ◽  
Sensitive Data ◽  
Customer Data ◽  
Technology System ◽  
The Many ◽  
The Internet Of Things ◽  
Information Technology System

An edge computing system is a shared IT (Information Technology) system where customer data can be processed at the edge of the network to as close as possible to the originating source. The Internet of Things connects the various things on the internet, making it easier to live and allow jobs to be done more smartly. It also gives total control to the users. The combination of Edge computing and the Internet of Things can potentially result in huge possibilities for users. This work accessed edge computing and the benefits of using edge computing. It also looked into how to edge the many possibilities that can result in the use of edge computing. Various similar concepts like fog and cloud computing were also considered as closely related terms. This article provides insights into the use of edge computing in several industries.

scholarly journals Satellite Edge Computing for the Internet of Things in Aerospace

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4375 ◽  
Author(s):  
Yuxuan Wang ◽  
Jun Yang ◽  
Xiye Guo ◽  
Zhi Qu
Keyword(s):  
Internet Of Things ◽  
Computing System ◽  
Edge Computing ◽  
The Internet ◽  
New Paradigm ◽  
Long Distance ◽  
Modeling Analysis ◽  
Iot Devices ◽  
Terrestrial Network ◽  
The Internet Of Things

As one of the information industry’s future development directions, the Internet of Things (IoT) has been widely used. In order to reduce the pressure on the network caused by the long distance between the processing platform and the terminal, edge computing provides a new paradigm for IoT applications. In many scenarios, the IoT devices are distributed in remote areas or extreme terrain and cannot be accessed directly through the terrestrial network, and data transmission can only be achieved via satellite. However, traditional satellites are highly customized, and on-board resources are designed for specific applications rather than universal computing. Therefore, we propose to transform the traditional satellite into a space edge computing node. It can dynamically load software in orbit, flexibly share on-board resources, and provide services coordinated with the cloud. The corresponding hardware structure and software architecture of the satellite is presented. Through the modeling analysis and simulation experiments of the application scenarios, the results show that the space edge computing system takes less time and consumes less energy than the traditional satellite constellation. The quality of service is mainly related to the number of satellites, satellite performance, and task offloading strategy.

Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System

2017 ◽  
Vol 8 (4) ◽  
pp. 30-39
Author(s):  
Rajaguru D. ◽  
Puviyarasi T. ◽  
Vengattaraman T.
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Urban Areas ◽  
Computing System ◽  
Edge Computing ◽  
Handheld Devices ◽  
The Internet ◽  
Information Stream ◽  
Information Streams ◽  
The Internet Of Things

This article lights the need for the identification of resource elasticity in handheld edge computing systems and its related issues. Under a few developing application situations, for example, in urban areas, operational checking of huge foundations, wearable help, and the Internet of Things, nonstop information streams must be prepared under short postponements. A few arrangements, including various programming motors, have been created for handling unbounded information streams in an adaptive and productive way. As of late, designs have been proposed to utilize edge processing for information stream handling. This article reviews the cutting-edge stream preparing motors and systems for misusing asset versatility which highlights distributed computing in stream preparation. Asset flexibility takes into consideration an application or administration to scale out/in as per fluctuating requests. Flexibility turns out to be much more difficult in conveyed conditions involving edge and distributed computing assets. Device security is one of the real difficulties for fruitful execution of the Internet of Things and fog figuring conditions in the current IT space. Specialists and information technology (IT) associations have investigated numerous answers for shield frameworks from unauthenticated device assaults. Fog registering utilizes organize devices (e.g. switch, switch and center) for dormancy mindful handling of gathered information utilizing IoT. This article concludes with the various process for improvising the resource elasticity of handheld devices for leading the communication to the next stage of computing.

Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System

2020 ◽  
pp. 1634-1644
Author(s):  
Rajaguru D. ◽  
Puviyarasi T. ◽  
Vengattaraman T.
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Urban Areas ◽  
Computing System ◽  
Edge Computing ◽  
Handheld Devices ◽  
The Internet ◽  
Information Stream ◽  
Information Streams ◽  
The Internet Of Things

This article lights the need for the identification of resource elasticity in handheld edge computing systems and its related issues. Under a few developing application situations, for example, in urban areas, operational checking of huge foundations, wearable help, and the Internet of Things, nonstop information streams must be prepared under short postponements. A few arrangements, including various programming motors, have been created for handling unbounded information streams in an adaptive and productive way. As of late, designs have been proposed to utilize edge processing for information stream handling. This article reviews the cutting-edge stream preparing motors and systems for misusing asset versatility which highlights distributed computing in stream preparation. Asset flexibility takes into consideration an application or administration to scale out/in as per fluctuating requests. Flexibility turns out to be much more difficult in conveyed conditions involving edge and distributed computing assets. Device security is one of the real difficulties for fruitful execution of the Internet of Things and fog figuring conditions in the current IT space. Specialists and information technology (IT) associations have investigated numerous answers for shield frameworks from unauthenticated device assaults. Fog registering utilizes organize devices (e.g. switch, switch and center) for dormancy mindful handling of gathered information utilizing IoT. This article concludes with the various process for improvising the resource elasticity of handheld devices for leading the communication to the next stage of computing.

scholarly journals Edge Computing for the Internet of Things: A Case Study

2018 ◽  
Vol 5 (2) ◽  
pp. 1275-1284 ◽  
Author(s):  
Gopika Premsankar ◽  
Mario Di Francesco ◽  
Tarik Taleb
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview

2017 ◽  
pp. 87-115 ◽  
Author(s):  
P. J. Escamilla-Ambrosio ◽  
A. Rodríguez-Mota ◽  
E. Aguirre-Anaya ◽  
R. Acosta-Bermejo ◽  
M. Salinas-Rosales
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Bridging the IoT Gap Through Edge Computing

2019 ◽  
pp. 1-9
Author(s):  
R. I. Minu ◽  
G. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Information Needs ◽  
Edge Computing ◽  
The Internet ◽  
Cloud Server ◽  
The Cost ◽  
The Internet Of Things ◽  
Clear Objective ◽  
Origin Point

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

Cooperative Edge Computing of Data Analytics for the Internet of Things

2020 ◽  
Vol 6 (4) ◽  
pp. 1166-1179
Author(s):  
Apostolos Galanopoulos ◽  
Theodoros Salonidis ◽  
George Iosifidis
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things
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