Edge/Fog Computing

Edge/Fog computing

 

Abstract:

Commuting that happens at the edge of the network, with the edge is being defined place where end devices access the entire network ex: sensors, phones, laptops. In the edge these devices connected so they could deliver data, receive instructions from cloud. IOT devices gather a lot of data that are sheer volume requires larger and more expensive connections between the cloud and edge devices. Data storage and the processing can be done most intelligent and structured way between the cloud and edge devices.

Introduction:

In recent years we have seen enormous increase of IOT (Internet of Things) devices are adding on to our network. Edge computing is placing a networked computing devices as close as possible to where the data is being created. Fog/Edge computing minimizes the latency between the client and the cloud, some of the decisions are being made at edge devices. Edge computing, devices have the higher response time and data transfer between the cloud and edge devices being reduced compared with the cloud computing. The main aim of edge/fog computing is to analyze the huge amount of data and filter the useful information, this is done with the help of IOT devices. With help of Intelligent edge devices, we can improve the security of the devices. Most of the data being processed at the edge of the devices this will reduce the traffic of the network and data blockage.

 

 

Achieved:

1. Introduction

2. Fog/edge Overview

3. Fog/Edge computing architecture

a) Smart Agriculture

b) Smart Waste Management

C) Smart Transportation

D) Smart Power Grid

F) Smart Retail Store

G) Smart Health

 

4. Use case Scenarios

5. Common Features

6. Data Analysis

7. Security

8. Challenges and Opportunities

 

Challenges:

· Edge/Fog computing devices are more exposed and more vulnerable to attacks, it must be secure from the physical and software attacks.

· Band width availability at edge location: Most of the cases Band Width at the edge location is very low.

APPLICATIONS:

Few applications include-

• Home automation

• Smart transport

• Smart Agriculture

• Smart building

• Smart manufacturing

• Unmanned aerial vehicles

• Security Cameras

 

TIME SCHEDULE:

Midterm Report submission – June 25

Final Term Paper submission – July 29

REFERENCES:

[1] www.eweek.com/grid systeming

[2] www.hl7.org/implement/standards

[3] https://ieeexplore.ieee.org/document/6984239

[4] https://ieeexplore.ieee.org/document/7098039

[5] https://ieeexplore.ieee.org/document/5675779

 

 

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