Edge Computing vs Fog Computing: A Comparative Guide

 

It’s no secret that Internet of Things, or IoT, is on the rise. Experts predict that there will be over 25 million IoT devices by the end of this year.

Businesses and companies around the world are trying to optimize their customers’ experience through these technologies. At the forefront of these efforts are edge and fog computing.

They offer a solution to all the massive amounts of data that every device collects. But when it comes to edge computing vs fog computing, what’s the difference?

That’s what we’ll be looking at today. Read on to get a comparative guide of both edge and fog computing here.

What is Edge Computing?

Edge computing is an extension of other technology like distributed data, peer-to-peer networking, and remote cloud services. They’re powered by small form factor software that optimizes performance.

Edge computing services have low power requirements along with improved hardware. In other words, edge computing is computing that’s done at or near the data source.

This is in contrast to cloud computing. It doesn’t mean that the cloud is gone, but rather it’s coming to you. For more details on edge computing, check out this article from Hivecell that gives more context to this emerging trend.

Benefits of Edge Computing

The most obvious benefit of edge computing is its speed. It greatly reduces latency, something that’s crucial for most businesses in 2021.

It’s also a great way to keep data secure. Because data is processed on local devices, edge computing reduces the amount of data that’s at risk.

What is Fog Computing

Fog computing, on the other hand, is a more decentralized version of data storage. Data, storage, and applications are basically stored somewhere between the source and the cloud.

The term “fog” is used because it refers to the idea of a cloud that’s closer to the ground.

Benefits of Fog Computing

Organizations using fog computing are given much more choices when processing data. This is crucial when you need to process data as fast as possible.

Fog computing creates low-latency network connections between devices and endpoints. This reduces the amount of bandwidth needed, while also providing more security.

Edge Computing vs Fog Computing

The main difference between fog computing vs edge computing is where the computing power and intelligence are placed.

For fog computing, intelligence is at the local area network or LAN. Data is then transmitted from endpoints to fog gateway.

Intelligence and power for edge computing can be in either the endpoint or the gateway. This sense of independence carries over to more reliability and less failure.

While some praise edge computing’s reliability, others prefer fog computing’s scalability. Which one you choose depends on your company’s priorities, as they’re both excellent options.

Leverage Fog Computing and Edge Computing Today

Leveraging IoT is crucial for getting the best and most reliable data storage and protection. Use this article to help you understand edge computing vs fog computing while understanding their respective benefits.

For more informative articles on technology and computing, check out the rest of our site!

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