What new : distributed edge computing
Today we’re going to explore the fundamental differences between Edge computing and Distributed computing, and go over which one would be best suited for your business needs.
Difference Between Edge Computing and Distributed Computing
Abstract
As technology advances, the number of devices connected to the internet continues to grow at a rapid pace. With the increase of internet-connected devices, the demand for data processing is skyrocketing, as well. While traditional cloud-based solutions have been the go-to option for data processing and storage, there is now a new approach to data processing – Edge computing.
But what is Edge computing and how is it different from Distributed computing? In this post, we’ll explore exactly that – the fundamental differences between Edge computing and Distributed computing, and which one is best suited for certain business needs.
Introduction
First, let’s take a look at what Distributed computing is. Distributed computing involves splitting up large-scale computational problems into smaller, more manageable tasks and distributing them across multiple computers to be processed in parallel. The results from each individual computer are then combined to generate the final output.
On the other hand, Edge computing is a more recent concept that involves processing data on devices themselves, rather than sending it to a central server for processing. Edge computing involves deploying computing systems, such as servers and data storages, closer to the network end-users.
Edge Computing: What is it and Does Your Business Need it?
Edge computing has come to the forefront in importance because of its benefits in terms of providing real-time data processing, improving application efficiency, enhancing user experience and reducing latency.
So, does your business need Edge computing? If your business relies on the Internet of Things (IoT) devices, high-speed applications, or real-time data processing, then Edge computing is a solution that you should certainly consider since it would be well-suited to your business needs.
Conclusion
So, in conclusion, we’ve discovered that while Distributed computing and Edge computing are both viable options for data processing and storage, each has its own unique benefits that make them more suitable for certain business needs.
If your business needs involve real-time data processing and high-speed applications, then Edge computing is probably the better option. If, on the other hand, your main concern is large-scale computational problems, then Distributed computing is the way to go.
Either way, it’s important to remember that every business has unique needs, and it’s important to choose the option that is best suited to your specific use case.
Source image : www.notebookcheck.net
Source image : www.ciodialogues.com
About The Author
