I’m new to the world of edge computing and I’m eager to learn more about this exciting technology. I’ve heard that it can be a game-changer in various industries, and I’m particularly interested in understanding how it can be implemented on Manjaro, my preferred Linux distribution.
Could someone please explain the concept of edge computing in simple terms for a beginner like me? I’d love to grasp the fundamentals before diving into the technical details.
Additionally, if anyone has experience with implementing edge computing on Manjaro or any other Linux distribution, I’d greatly appreciate some guidance or pointers to resources where I can start learning and experimenting.
It’s nothing special, really. Even you might actually start learning web programming using edge computing architecture, as everything is running on your own computer and the data it serves also reside on the same computer.
In a larger, production level scope, this means redundant deployment on multiple different locations then use a redirector to choose which location to serve the request based on the closest distance. If you’re used to working with cloud servers, you will have a selection of server locations for your apps, some even provide this edge computing feature preconfigured, just pay more for the feature.
Most global websites like Facebook, Google, Instagram, etc. use it. For instance, grab any post in your feed with image then copy the address. To me, it starts with this:
Checking Domain Name
Domain Name: scontent.fcgk31-1.fna.fbcdn.net
Top Level Domain: NET (Generic TLD for IT / Network oriented sites)
DNS Lookup
IP Address: 103.14.16.212
Geolocation: ID (Indonesia), 30, Jawa Barat, N/A Bogor - Google Maps
Reverse DNS: fna212.01.fcgk31.facebook.com
Which means the image is served from a server very near to my location. It’s really just that.
explain edge computing like I’m 5 and explain how it fits in into the Manjaro context.
ChatGPT
Sure! Imagine you have a big toy box in your room, and you like to play with your toys. Instead of going all the way to your toy box in the corner of the room every time you want to play, you decide to keep some of your favorite toys in a small box right next to you. That way, you can quickly grab the toys you like without walking across the room.
Edge computing is a bit like that small box of toys. Normally, when we use computers or devices like your tablet, they send information and get instructions from big computers far away, like the ones at the data center. But sometimes, we want our devices to work really fast and do things quickly, just like you want to grab your favorite toys quickly.
That’s where edge computing comes in. It’s like having a mini-computer or a small box of computer power right next to you. Instead of sending all the information far away to the big computers, some tasks can be done on this mini-computer nearby. This makes things faster and more efficient.
Now, let’s talk about Manjaro. Manjaro is like a special room where people who love playing with computers gather. It’s a type of operating system, like the software that makes your tablet work. In the context of Manjaro, edge computing can be used to make Manjaro work even better and faster.
For example, if you’re using Manjaro on your computer, and you want to do something quickly, like play a game or edit a picture, edge computing can help by doing some of the work right on your computer instead of sending it far away to other big computers. This makes your experience with Manjaro smoother and more enjoyable.
So, edge computing is like having your favorite toys close by, and in the Manjaro context, it helps make your computer tasks faster and more efficient, just like playing with your toys more easily.
One can almost pinpoint the very moment IQ’s begin to diminish!
Off topic:-
explain edge computing like I’m 5 and explain how it fits in into the duck context.
ChatGPT
Sure thing! Let’s talk about edge computing using a duck story:
Imagine you have a big pond with a bunch of ducks swimming around. These ducks are like little computers, and they like to talk to each other and share information. Now, there’s a special duck called “Mr. Cloud Duck,” who lives high up in the sky, like a floating castle in the clouds.
In the old days, all the ducks had to send their messages to Mr. Cloud Duck whenever they wanted to talk to each other. Mr. Cloud Duck would listen to everyone and then tell the ducks what to do. But sometimes, this took a long time, and the ducks had to wait.
Now, here’s where edge computing comes in! Imagine we build little islands near the pond, and we put smart ducks on these islands. These smart ducks can listen to the other ducks nearby and help them talk to each other faster. They don’t have to go all the way up to Mr. Cloud Duck in the sky.
So, edge computing is like having these helpful island ducks. They make things faster and more efficient because they do some of the work right there on the edge of the pond, instead of sending everything up to Mr. Cloud Duck in the sky.
In the world of technology, edge computing means using small, smart computers close to where the action is happening (the edge) to make things quicker and smoother, just like our island ducks help the pond ducks communicate faster.
