Edge Computing: Three Use Cases for Businesses to Employ

Edge Computing Three Use Cases for Businesses to Employ-01
Businesses are hearing more and more about Edge computing, as the Internet of Things (IoT) and cloud computing proliferate enterprise technology at an exponential rate. Still, for many businesses, edge computing is a new and untested notion.

In edge computing, defining use cases ahead of time is critical since it influences architectural decisions. Edge solutions are as diverse as the use cases they serve. Edge use cases employing wirelessly connected Internet of Things (IoT) devices may necessitate a Multi-access Edge Computing (MEC) network solution from a communications service provider that provides the services and computing functionalities that users on edge nodes require.

Let’s take a look at how edge computing can help businesses.

Improving the performance of the application and the user experience

One of the best modern instances of edge concepts at work is content delivery networks (CDNs), which enhance many consumer web experiences by getting web content closer to the person consuming (i.e., listening, watching, or reading) it.

This is true for both external and internal consumers: Latency is a killer if users want speed (as they frequently do). But it can be reduced by bringing traditional infrastructure resources as close as possible to where applications are executing and/or data being processed.

Also Read: Top Edge Computing Predictions to Keep an Eye on in 2022

Companies can deploy applications at the edge, resulting in reduced latency, which is a top demand from users of apps. The network distance traveled, computing load, and database transaction volume/processing time are all factors that influence latency.

The trend to remote/hybrid workplaces emphasizes the need for high-performance software. Videoconferencing and productivity/collaboration tools are two of the most common and important edge use cases, especially as remote work becomes more common.

Edge computing may be advantageous when time is of the essence, especially when time is measured in the smallest increments. For example, fraud detection will be a major area for edge computing. Fraud detection usually necessitates a decision in milliseconds or less.

Support for a remote workforce

Many firms have been propelled to quickly embrace remote working due to the COVID-19 outbreak, scattering staff across the region, nation, or globe. It’s also proven to be an excellent application for edge computing.

The move to remote work appears to be a promising candidate for edge computing consideration. Companies will want to think about how remote workers operate in various geographic zones access business systems, especially as they become more prevalent. Using edge computing as part of a strategy would certainly boost productivity while also improving resiliency.

Also Read: Three Potential Vulnerabilities to Watch in Edge Computing Strategy

Edge computing is now reaching the forefront as a critical pillar of the network architecture to support this new distributed workforce. It effectively leverages the growing universe of devices and sensors at the edge of their networks as enterprises reassess their long-term network requirements, based on their experience managing the present situation.

Local, real-time retail data analysis

Edge computing brings computation as close as feasible to the point where data is generated. For example, in the retail industry, data has traditionally been gathered in one single location, scrutinized, and then worked upon. Retail stores can employ edge computing to optimize locally and in real-time depending on data processed at the location’s edge. Edge computing enables firms to make data-driven choices more quickly.

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Umme Sutarwala is a Global News Correspondent with OnDot Media. She is a media graduate with 2+ years of experience in content creation and management. Previously, she has worked with MNCs in the E-commerce and Finance domain