Edge computing brings cloud resources (compute, networking, storage) closer to applications, devices and users.<\/p>\n
In order for edge computing to be widely adopted by businesses around the world, it will take a commitment from these large companies to build out a massive distributed network. A new market must be established beyond telcos and content studios, where the demand for edge computing and analytics in real-time justifies the investment by large enterprises.<\/p>\n
As this new technology becomes widely adapted, it is important to understand how it will be used to improve our day-to-day lives today and in the near future. With this in mind, here is our list of the Top 10 Edge Computing use cases:<\/p>\n
1. Autonomous Vehicles<\/span> Luxury car markers such as Mercedes-Benz are now catching up with the latest technology, with the recent announcement of \u201cLevel 3\u201d autonomy which allows drivers to take their hands off the wheel for extended periods of time thanks to advanced sensors and mapping technology that come equipped in each vehicle.<\/p>\n 2. Artificial Intelligence<\/span> As more and more data is produced, it will be offloaded to local edge devices for processing instead of directly to the cloud. With AI becoming more powerful and widely distributed, new edge use cases will emerge, leading to increased real-time analytics and reduced labor costs for businesses.<\/p>\n 3. IoT<\/span> 4. Content Delivery<\/span> With 4k and HD video quickly becoming the standard for viewer consumption, CDN\u2019s will need to beef up their infrastructure to deliver an incredible variety of content including audio streams, software downloads, mobile apps and games.<\/p>\n 5. 5G Infrastructure<\/span> 6. Video Gaming<\/span>
\nWith the adoption of self-driving cars such as Tesla leading the way, the future of autonomous vehicles has also extended to long-haul trucking and farming tractors in rural areas. These sophisticated smart vehicles can generate upwards of 5TB of data per day, and require massive on-board processing power to reach true autonomy.<\/p>\n
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\nAI is quickly becoming more advanced and increasingly adopted by the modern world in a variety of industries which are all included in this list. We now have the ability to make services and devices smarter by increasing the processing power in smartphones and edge devices.<\/p>\n
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\nIoT-enabled devices have made edge computing architecture a necessity for enterprise companies around the world. While machine-to-machine communication and connected devices have been around for several years, today\u2019s IoT has evolved due to the number of devices and the amount of data they are sending over networks. Edge computing cuts down latency from these devices by processing the data locally where it occurs.<\/p>\n
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\nWith movie theaters looking more and more like a thing of the past, people are flocking to streaming services such as Netflix, Disney+ and YouTube to deliver streaming content at scale. <\/p>\n
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\nBy 2023, 5G will make up nearly one-fifth of all mobile data traffic, where 25% of the use-cases will depend on edge computing capabilities. The current gap in carrier testing and mainstream adoption will be the availability of devices with 5G and the hardware and software to support it.<\/p>\n
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\nWhen it comes to video gaming, the most important thing to the end user is low-latency since many of today\u2019s games are happening online with players from all over the world. With the holiday releases of both the Sony Playstation 5 and Xbox Series next-gen consoles keeping people busy at home, reducing lag is priority number one.<\/p>\n
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