Revolutionizing Networking with Edge Computing

Compared with cloud computing, edge computing focuses more on the analysis of real-time, short-cycle data, and can better support the real-time intelligent processing and execution of local business. Therefore, driven by technologies such as mobile Internet, Internet of Things, and artificial intelligence (AI), it is obviously very important to make good use of edge computing to combine the speed of content delivery network (CDN) with the advantages of cloud to create a new generation of network.

Edge computing focuses more on real-time, short-cycle data analysis

Edge computing is not only applicable to connected cars and electronic terminals, but is actually associated with low-latency, high-capacity IoT connections. Like the rules of CDN, edge computing attempts to improve performance by being as close to the last mile as possible. But unlike CDN, which focuses on simply delivering content such as images and scripts, edge computing is more interested in getting computing processing closer to users.

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Revolutionizing Networking with Edge Computing

By shortening the distance between devices and the cloud resources that provide services to them, and reducing the number of network hops, edge computing alleviates the latency and bandwidth limitations of today's Internet, while enabling the introduction of new applications. With its help, computing power can be delivered to the logical end of the network, improving the performance of applications and services as well as operating costs and reliability.

This solves the delay caused by data processing whether in the data center or in the cloud. In the decentralized edge computing model, the initial processing can be carried out near the user, thereby effectively improving the overall energy efficiency of the network.