Edge Computing? An Overview of The Technology

Are you an IT professional trying to figure out how to get ready for the future?

Do you want to learn more about Edge Computing?

When you think about where the world of technology is going, it’s pretty obvious that everything is becoming more connected.

Most of this connection is happening through the Internet, but as we continue to develop faster and more reliable methods for transmitting data, faster ways of connecting devices are going to become a necessity in just about every corner of the world.

If you’re working in IT and trying to figure out how you can get ready for the future, learning more about Edge Computing may be exactly what you need.

So what is Edge Computing? And why should you care?

Keep reading to learn all you need to know now!

What is Edge Computing?

What if you could take your data center to the edge? That’s the promise of edge computing, which is quickly becoming an important buzzword in the industry.

Everyone wants to know what edge computing is and how it can help them. The truth is, edge computing involves a lot of different things and can mean different things to different people.

There are many technical definitions out there, but we’ll keep this simple: Edge computing is a broad term that refers to a distributed network of devices known as “edge devices,” which monitor and process data from IoT devices before transferring it to centralized cloud servers for storage and analysis. These edge devices are also referred to as ‘endpoints’ or ‘last-mile devices’ because they reside at the end points of communication cables in an organization’s network.

What is an Edge Computing Framework?

An edge computing framework is software that enables devices to process data and make decisions locally, rather than sending all data back to the cloud. This has advantages for latency, reliability and security. It is also known as fog computing or decentralized computing.

Edge computing can be implemented on a small scale with an edge device such as a router with local storage dedicated to processing data from that specific edge device.

Or it can be implemented on a larger scale with an edge computing framework that enables you to deploy your own edge compute services in the cloud without having to build them from scratch.

An edge computing framework makes it quicker, easier and cheaper to implement edge computing because it offloads much of the heavy lifting onto the software so you don’t have to build these features yourself.

How Does an Edge Computing Framework Work?

An edge computing framework is a new way of handling data generated by IoT. It does not rely on only centralized data centers to process IoT data. Instead, it relies on more distributed processing at the edge of the network, where devices are located, and then sending them to a centralized server for final processing.

Edge computing improves IoT performance in two ways: – Edge devices are closer to the end user which means they will send less data across the network and there will be less latency with those transmissions. – The architecture is designed to be scalable, so even if there isn’t room at the edge for all of your IoT devices, additional space can be created at the edge or central servers can handle some of the load.

Key features of an Edge Computing Framework

There are multiple features that make edge computing a game changer for the future of IoT.

Here are some of the key features:

1-Optimizes network traffic by performing computations at the edge

2-Improves user experience by providing more consistent response times

3-Reduces latency and power consumption by forwarding less data to the cloud

4-Increases security and privacy with end-to-end encryption

Types of Edge Computing

There are 4 types of Edge Computing broadly classified as

1- Internet of Things Edge

Internet of Things (IoT) is a network of devices that can sense or respond to their environment.

The main objective of IoT is to enable objects, devices, machines and services to connect securely and capable of detecting new data and commands, making them able to perform set actions in response. IoT Edge enables the local processing of all data generated by sensors, cameras and other sources.

2- On Premise Edge

Oftentimes, when we think of software, databases and servers come to mind. However, there are also applications like On Premise Edge (OPE) that aren’t as common as other programs.

OPE is an application used by businesses to streamline their operations. It has many different uses but most importantly it can help with the everyday tasks of your business.

3- Access Edge

Access edge devices are those that reside on the boundaries of networks with limited access such as branch offices, departmental buildings, or other locations where installing traditional routers is impractical.

These devices handle traffic coming into a network from public Internet Service Providers (ISPs) or other edge devices and filter it before sending it to the internal network.

4- Network Edge

As the name suggests, the network edge is the outermost boundary of your virtual private network (VPN). It’s the part of your network with the least amount of protection. In other words, it’s the most vulnerable and exposed section of your VPN.

If you have a small business or home office setup with just a couple computers, then you don’t need to worry about network edge space too much. However, if you are running a larger company with several locations or different departments, it’s essential that you know what exactly network edge space is in order to keep your sensitive data secure at all times.

Microsoft Edge Computing

Microsoft edge computing is an intelligent hybrid cloud platform that helps enterprises transform their business.

It delivers AI-powered, real-time insights and services directly to devices — wherever the user is — so they can respond to users’ needs faster and more efficiently.

Microsoft edge computing has helped digitize businesses by extracting data from unstructured sources, analyzing it with algorithms and delivering a report that can be used at any time and place as per user needs.


Before you go:

When it comes to the future of IoT and data analytics, edge computing is quickly becoming a buzzword that is widely accepted.

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