Microsoft is shifting its main focus in 2018 from Windows to the intelligent edge, aiming to win a place in the computing area. Recently, the company has displayed its edge-computing tools on the Build developer conference and announced to open sourcing the Azure IoT Edge Runtime to make customers’ operation more conveniently. In fact, giants like Amazon and Google also trying to improve their edge computing.

Computing - Edge Computing Optimizes the Technology Area

Edge computing emerges with the trend of cloud computing, and it is the method that optimizes cloud computing systems by performing data processing at the edge of the network and near the source of the data. The following advantages could explain why so many giants develop this technology:

Advantages of edge computing

  • Solve the problem of latency

When you play an online game with others, you must not hope to be influenced by latency as it may lead to your failure. Edge computing could just solve this problem. It works under the principle of a more distributed network to eliminate disconnection in real-time, thus you could get the accurate information from a more reliable network timely so that you won’t make a mistake. And edge computing is an essential technology for large numbers of activities on the Internet.

  • Assure the security

Information security is one of the most important factors that customers value in Internet of things. It follows a layered approach that protects information in different layers. And the compute and analytics workload from data center servers could be offloaded by edge devices, ensuring security of the hardware layer and the communication layer. So it is safer to take advantages of the edge computing.

  • Save the bandwidth

Imagine you buy several security cameras, and when you need to stream its footage at the same time, you may come across the bandwidth problem. Edge computing could help you pick out the vital footage and discard the rest so that the bandwidth could be saved. And running some functions like AI cloud on the users’ device instead of all in the cloud. Google is using this method now.

  • Transmit real-time data

Edge computing sites send real-time data so that problems could be predicted or prevented by the monitoring system. That is, you could monitor the data from time to time, which is a useful function that could get precise data and avoid problems.

  • Run with a low cost

Edge computing saves the cost for capital outlay and computing by integrating new and existing hardware and software. Such efficient, accurate and cost-effective technology is certainly welcomed by the technology companies.

Application of edge computing

Edge computing could be combined with other new technology. Let’s see its application from the following 3 areas:

  • AR and VR

Both AR and VR call for the fast response time that could be got through edge computing.

For example, GridRaster and Saguna are studying the solution to utilize Saguna’s multi-access edge computing expertise. They want to use edge cloud to power high-end AR and VR experience. Then we may experience a cool AR and VR situation in the future.

  • Driverless Vehicles

Edge computing will allow driverless vehicles to host artificial intelligence (AI) applications at the network edge, helping to avoid latency levels and power the vehicle to run orderly. And vehicles require to deal with a large amount of data in real-time, which could also be achieved by edge computing.

  • Videos

Videos, especially the live ones require edging computing as well. For instance, when you participate a live show, you hope to get a fluent video. Edge computing will help you by transmitting the real-time scenes. It is the high speed and no latency that ensure you to get a good experience from the live.

Edge computing is a key technology on the Internet, more could be found from the cool tech. Let’s just wait for the latest trend.


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