Edge Computing

An Article Written by Trainee Fatima AlSufayan From King Saud University about Edge Computing.
Edge Computing

What is the Edge Computing:
Cloud computing faces a series of challenges, such as insufficient bandwidth, unsatisfactory real time, privacy protection, and energy consumption. To overcome the challenges, edge computing emerges. The Edge computing allows data produced by IoT devices to be processed closer to where it is created rather than sending it across long routes to data centers or clouds, and it is a mesh network of micro data centers that process or store critical data locally and push all received data to a central data center or cloud storage repository, in a footprint of less than 100 square feet. According to a study from IDC, 45 percent of all data created by IoT devices will be stored, processed, analyzed and acted upon close to or at the edge of a network by 2020.

Edge computing enables data-stream speeding up, including real-time data processing without latency. Also, it allows smart applications and devices to respond to data almost instantaneously.

Advantages of Edge Computing:

Real-time or faster data processing and analysis:
Data is processed closer to the source, which reduces lag time.

Lower costs:
Enterprises spend less on data management solutions for local devices.

Less network traffic:
Because the increasing number of IoT devices, data generation continues to rise at record rates. As a result, network bandwidth becomes more limited, overwhelming the cloud and leading to a greater bottleneck of data.

Increased application efficiency:
The applications can operate more efficiently and at faster speeds. Therefor, latency levels become lower.

“What is edge computing and how it’s changing the network” by Brandon Butler