Edge Computing Explained | What is The Edge?



something that I find is very fascinating to think of as when all these emerging technologies that we tend to think of you know separately today comes together in the future what kind of world we will be living in then imagine that Internet of Things will give things such as lamps chairs doors and etc their own internet connections and edge computing will allow these things to process the data they gather locally together with artificial intelligence and machine learning that can actually make sense of this data these things will then no longer be just things they will be called important decision makers hi there welcome to the next video I feel like it was yesterday that people started to talk about the cloud and now we are already talking about the edge if you are new to my channel consider subscribing I post videos every week about emerging technologies such as artificial intelligence machine learning engine of things crypto and much more all right so in order to understand edge computing we first need to go through what cloud computing is so computing it's basically a service that delivers computing resources on demand so when someone says that their application is cloud based what really means is that it's hosted on some distant computers that is owned by someone else for example IBM Google Amazon and instead of like having everything locally on your computer's hard drive they have it on the cloud and a good thing about the cloud is the flexibility that it offers you pay for as much as you use so let's say for example that you want to build something then you don't need to go and buy a lot of expensive hardware to host a story of stuff on but instead you just pay the cloud service as much space and computing power that you actually are using most of us are using cloud-based solutions already on a daily basis for example iCloud or Google Drive and it's been the thing for a while when it comes to applications that needs a lot of computing power or a lot of storage especially applications that have artificial intelligence and machine learning in them because artificial intelligence and machine learning both need a lot of computing power and also storage so it's been relying on the cloud-based or cloud to do the heavy lifting so the idea behind edge computing is to push the cloud services closer to the edge of the network to the devices actually gathers the data from the beginning so basically we want to process the data at the very machines that gathered the data from the beginning and make local decisions at those machines instead of essentially at the cloud so edge computing can be seen as some kind of you know decentralized cloud and you might not think like why as edge computing needed then like wasn't the point from the beginning with the cloud that we didn't want to store everything locally on our computers and my answer to this is that Internet of Things is approaching us faster and faster uh and for those of you who don't know what Internet of Things is it basically means that more and more things like physical things will be connected to the Internet so things like your fridge your dishwasher your coffeemaker will all have their own internet connections and they will be able to gather data locally and also become important sources of data so imagine that your fridge for example keeps track of all the food it contains and has data about it so when you are low on milk it can decide to go online and it will order milk for you and all these like connected things will be like data or gather data like this and we will want to use it this data after making various type of decisions and this means that the amount of data that is being created and sends over the network to the cloud where most of the computing is done is vastly increasing and burdening the net with more and more traffic but if the connected things to computations and analytics locally with the help of for example machine learning algorithms it will significantly reduce the amount of data that is being sent through the network and also reduce the bandwidth needed between the central server and things that generates the data and instead of sending the data constantly some kind of daily summary can be sent only like once or twice each day when it comes to making important real-time decisions edge computing significantly reduces the latency for the information to travel to the cloud and then back and also it strongly benefits devices and things that are not continuously connected to the Internet but are still expected to make smart decisions while they're not connected so that was basically my little summary of edge computing and why it's needed in the future if you are interested in emerging technologies which I assume that you are since you watch this video then I highly recommend that you do some research on your own on this topic because edge computing is something that we will see more of in the future especially when Internet of Things becomes more mainstream and if you have any questions please let me know them in the comments below otherwise I'll just see you guys in my next video

21 Comments

  1. Rabiul Sikder said:

    Excellent video…………….love from Bangladesh

    June 26, 2019
    Reply
  2. Paravastu Sowmithri said:

    My well wishes from India!

    June 26, 2019
    Reply
  3. Willy Jimmy said:

    Edge computing is the Cloud admitting defeat.

    June 26, 2019
    Reply
  4. Shankar G.G said:

    Can you please explain the edge computing in details as I want to go for details reserch on it

    June 26, 2019
    Reply
  5. Srinivas Vankadari said:

    Horrible explaination…..did not make any sense

    June 26, 2019
    Reply
  6. Khusanbek Gafurov said:

    Wonderful explanation would be much informative if you add some illustrative pics.

    June 26, 2019
    Reply
  7. streetmoney21 said:

    Great video. You have a beautiful mind and a nice way of making things easy to understand

    June 26, 2019
    Reply
  8. Jan Fazio said:

    You are awesome! Great video!

    June 26, 2019
    Reply
  9. Ajay Kattige said:

    that is the simplest and most apt explanation I have come across in a while. You have a positive vibe Alva, keep going. Subscribed!!

    June 26, 2019
    Reply
  10. Ryan Carena said:

    Thanks for a great explanation

    June 26, 2019
    Reply
  11. ankit jajodia said:

    Hey. Is face recognition feature in mobile phones can be consider as an example of edge computing?

    June 26, 2019
    Reply
  12. Saud Nm said:

    good detail. thanks

    June 26, 2019
    Reply
  13. Holger Otto ANDRé said:

    Are you afraid the these artificial decision makers could decide in their favor, as always?

    June 26, 2019
    Reply
  14. Tamothar said:

    Nice explanation madam.

    June 26, 2019
    Reply
  15. Nitin Khare said:

    Simple and good explanation

    June 26, 2019
    Reply
  16. Yu-Sheng Hunag said:

    Will the wifi router become a part of edge computing?

    June 26, 2019
    Reply
  17. Gabriel Djebbar said:

    Thank you for the explanation ! You got my subscribtion 🙂

    June 26, 2019
    Reply
  18. royal coder said:

    Very good explanation but I want to ask you about identity access management

    June 26, 2019
    Reply
  19. dysonlu said:

    It seems to me that this explanation is missing a critical aspect: where does the computing power and storage capacity required for doing the data analytics and running the AI coming from? It’s certainly not from your connected fridge or dish-washer. The answer is “fog computing”, which is basically a tiny subset of the cloud that’s physically close to the edge devices.

    June 26, 2019
    Reply
  20. Nahida Kiran said:

    Wonderfully explained.

    June 26, 2019
    Reply
  21. luis arellano said:

    Great explanation!

    June 26, 2019
    Reply

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