Edge Computing: What It Is & Why It Matters

We’re living in the age of cloud computing, but the busier the cloud gets, the more it can get jammed up with traffic. Contrary to popular belief, the cloud isn’t a boundless resource, and the more data we send, store and stream, the slower that data moves. That’s where edge computing comes in.

What Is Edge Computing?

Edge computing is the practice of storing and processing data near the edge of your network, as opposed to centrally in the cloud. That means the data doesn’t have to travel as far, cutting down latency and reducing the cost of transmission. It also lowers the volume of data being processed in the cloud, making everything run faster and more efficiently.

More Responsive Devices

Edge computing is already revolutionizing video streaming and gaming. Lower latency means broadcast-quality live video streaming and near-instantaneous response times between your controls and the action on screen.

Edge computing also has huge implications for the Internet of Things. Take self-driving cars. With cloud computing alone, it would take too long for a self-driving car to process all the data it needs to function. Edge computing allows the car to analyze its own data in-house without sending it through a network, so there’s less lag. That means self-driving cars that can sense their surroundings and react in real time.

More Bandwidth

Because mobile edge computing decreases the amount of traffic in the cloud, it also solves a lot of cloud computing’s bandwidth problems. The less congested the network, the faster your data can be processed. That means clearer streaming and faster downloads, so your devices can do more in less time.

From self-driving cars to smart homes and even smart cities – edge computing is the key to making all our connected tech run faster and more smoothly.