Edge Computing: A boon for the fast moving world.

Edge Computing: A helpful method for the fast-moving world

Edge computing refers to the computing which is taking place as near to the user as possible. When we use different and traditional methods of computing, the UX is not very good. The reason being the time taken to give the response.

Edge Computing solves exactly the problem, it reduces the distance between the user and the system which helps to further reduce time taken and leading to the results in real-time.

Fig. 1- Applications of Edge Computing

Edge Devices:

We already use edge devices in our daily life like smart watch's, smart speaker's, etc. These all collect data locally and process it to give results to the physical world. Devices connected to IoT, POS (Point Of Sales), robots, etc can all become edge devices - if they collect data locally and talk to the cloud.

Network Edge:

Edge computing don't need a separate network, which means that the device can be individually also connected to an edge device. 5-G can also help in bringing very powerful and effective connectivity to the devices. The network edge can be particularly helpful in situations where it is too costly or too complicated to put up edge devices and also high response is required.

How does Edge Computing Work?

Edge Computing is totally about location. The data is produced at an endpoint such as a user's phone/ computer. The data is moved through WAN (Wide Area Network) and through a corporate LAN (Large Area Network) and is stored and worked upon by the enterprise application.

Results are then conveyed back to the client.

Fig. 2- How Edge Computing Works.

Due to the growing demand for such infrastructure have created unbearable burden on the internet causing an increased wait-time.

IT architect's have to shift focus to the logical edge of the infrastructure taking storage and computing data and moving those resources to where the point is being generated. Edge Computing puts the storage and servers to a LAN to collect and process data.

That's it for this post. To read about more such technologies follow this blog.

Thank You,

Aniruddha KP

References:

(1) Accenture

(2) TechTarget

(3) GIGABYTE (Fig. 1 + content)

(4) Vertiv (Fig. 2 + content)