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​Edge Computing - A cutting edge technology! Highlighted

Latest reply: Mar 26, 2022 11:18:36 3705 25 16 0 0

Edge Computing

Introduction

In present age of innovation-driven world, we have IoT devices, 5G fast wireless, mobile applications and smart dashboards, all are generating enormous data and sent out up into the Cloud for processing these mass information into helpful information.


Issues associated

But there are some issues & problems with this setup, as these sensors don’t transmit data regularly and security concerns are associated as well when data acquisition and processing are separated by hundreds of miles.

Likewise, what happens if the Internet link of facility gets interrupted somehow? Cloud would certainly be worthless then.

Here comes EC (Edge Computing) to rescue you. Let’s discuss this

 

What is Edge Computing?

Simple version, it is a computer that resides close to your sensors, collects data, and can do data processing. This way, instead of transporting all that data to the Cloud or to your data center, you deal with it locally first.


The “computing” part can be as tiny as a Raspberry Pi to a rack full of servers with multiple GPUs running the latest neural networks.


Edge Computing  Topology

Image Source : IEEE Website


Working mechanism

By this, you can do refining as close to data acquisition as possible. This not only saves cost of data transfer expenses and also saves storage cost, if you can clean up the data before uploading it, since you do not require 100% of the video clip.


Edge Computing allows you to process sensor data before involving a data center.

 

Edge Computing

Image Source : Wiki Website


Another benefit to think about: if your network goes down, the edge device(s) can store the data until network connectivity is restored and upload it at that point.

 

One way to solve this is to use an edge device. The sensors submit their data to this device and the device manages uploading the data to your data center. If there is no Internet connectivity, you can generate a report from the readings stored on the edge device.

 

Edge Hardware

The selection of hardware is dependent on task you are doing either store-and-forward of the data or do you need complex computing needs.

   The difference can be a $30 Raspberry Pi or a rack full of GPUs that’s > $10,000 a piece.

Edge Computing Rasbery pi

Stock Image: louis-reed-zDxlNcdUzxk-unsplash


Edge systems are just another production system

Edge Computing servers

Stock Image:  imgix-pgdaAwf6IJg-unsplash


Application of Edge Computing

Edge application services minimize the volumes of data that have to be relocated, as well as the range that data have to take a trip. That gives lower latency as well as lowers transmission expenses. Computation offloading for real-time applications, such as facial recognition algorithms,


Edge Computing

Image Source : Network World   


Cloud gaming is another notable use-case, where some aspects of a game could run in the cloud, while the rendered video is transferred to lightweight clients running on devices such as mobile phones, VR glasses, etc. This type of streaming is also known as pixel streaming.

 

Other famous applications include connected cars, autonomous cars, smart cities, Industry 4.0 (smart industry), and home automation systems.


Advantages of Edge computing

    Edge computing has several advantages, such as:


  • Increasing data security and privacy

  • Better, more responsive and robust application performance

  • Reducing operational costs

  • Improving business efficiency and reliability

  • Unlimited scalability

  • Conserving network and computing resources

  • Reducing latency


Challenges in deploying Edge computing

Some major challenges people face while applying Edge computing include:


  • Remote connectivity and debugging, where multiple devices need to be identified and connected.

  • Model, firmware and data upgradation, as video analytics require machine learning model updates and some gateways need firmware upgrades.

  • Lack of trained personnel to manage the devices due to complexity of systems and technical barriers.


Ending Lines

     Edge computing is essential and widely use specially with the edvent of 5G and raise of IoT . These include (but are not limited to) connectivity, bandwidth management, sparse/bad data, heavy computing needs, etc.


The post is synchronized to: BAZ's Author Collection

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Saqib123
Moderator Created Apr 29, 2021 19:43:28

Thanks for sharing
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BAZ
BAZ Created Apr 29, 2021 19:48:25 (0) (0)
Glad you liked it  
andersoncf1
MVE Author Created Apr 29, 2021 21:34:38

Well done dear friend! Congrats

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wissal
MVE Created Apr 29, 2021 22:39:37

Interesting to know
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NTan33
Created Apr 30, 2021 01:13:58

A good introduction for a topic that will play an increasingly important role in our lives.
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BAZ
BAZ Created May 1, 2021 19:52:58 (0) (0)
Yea indeed and essential one  
MahMush
MahMush Created May 26, 2021 20:06:10 (0) (0)
Yeah with the advent of 5g technology has changed its dynamics and things are changing rapidly  
Unicef
MVE Created Apr 30, 2021 03:31:43

WELL DONE
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chantha
Created Apr 30, 2021 04:17:56

cool
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simchamnan
Created Apr 30, 2021 04:26:43

Good post
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Adriale
Adriale Created May 3, 2021 12:31:37 (0) (0)
 
zaheernew
MVE Author Created Apr 30, 2021 09:57:35

Great post
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titusmahwe
Created May 3, 2021 12:24:03

Edge Computing is a symbol for how deep technology can go in provide a stable environment for working with data. Nice Read.​Edge Computing - A cutting edge technology!-3918031-1
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BAZ
BAZ Created May 3, 2021 19:01:08 (0) (0)
Yes you're absolutely right  
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