What Is Edge Computing

Learn what makes edge computing revolutionary.

First, Why Edge Computing?

Looking at Software as a Service (SaaS), you can better understand the origin of edge computing. Here are key facts to consider.


SaaS Popularity Is Undeniable

Most businesses and consumers are now totally relying on online applications. The SaaS model is 100% dependent on Internet light-speed connectivity to deliver services worldwide.


Now SaaS Must Accommodate Edge

But over the years, the source of data collection has gradually shifted from the traditional LAN-attached workstation to the wifi-connected smart device.


SaaS Is Network-Dependent

Applications are designed to transfer data from end-user devices to cloud data centers where they are processed. The results need to be sent back to the originating source for display or reuse.


Light Speed Hinders SaaS Data Transfers

Unfortunately, this whole back-and-forth data transfer process suffers from a growing network latency. Cloud computing has failed to integrate edge devices.

What Is Edge Computing

“By 2019, at least 40% of data will be stored, processed, analyzed and acted upon close to, or at the edge of the network,” says IDC. This is exactly what edge computing is about.

Edge computing refers to the process of computing data ‘at the edge’ of the network – hence, the name. It means the infrastructure used to run services is much closer to the actual source of data. Other words for this architecture are distributed computing or decentralized computing.

The source of data can be intelligent devices such as smartphones, tablets, medical tools, or sensors used in self-driving cars, food plants, connected homes, oil rigs, etc. These devices have in common the fact that they require near-instantaneous data analysis.

The technology brings processing
nodes closer to the edge device.
Computing at the edge enables
real-time processing & accelerates SaaS.
The technology enhances the
integration of smart objects into SaaS.
Distributed computing enhances SaaS user experience and adds security.

Missing the Edge Computing Trend Is Missing the Future

50 billion devices will be connected to the Internet of Things (IoT) by 2020 (Cisco)

The overgrowing number of connected devices and related solutions is here to remind us of the urgency for every business to adapt to the distributed systems era.

5.6 billion IoT devices will utilize edge computing in 2020 (Business Insider)

While Big Data analytics can afford data to be sent to centralized cloud servers for later processing, time-sensitive applications that need immediate treatment cannot.

50% of developers are lacking the necessary technology to deliver on IoT expectations (Progress)

Developers are looking for infrastructure and platform solutions to quickly close the gap in delivering applications that are ready to use for decentralization.

We’ve Entered the Era of Edge Intelligence

While cloud computing has been hailed as the ultimate IT solution for enterprises over the past decade, it is evident that it can no longer respond to the needs of the new-generation business. We’ve entered the era of the Internet of Things as data intelligence is driving a new approach.

Making the Case for Edge Computing

Orlando Bayter, Ormuco CEO, presented a 30-minute long webcast about decentralization.

Want to Learn More About Edge Computing? We’ve Covered It All!

Every actor of the information technology landscape needs to know all about the technology and its use cases. Here are a few articles that will help you catch up on the topic.