With the growing trend of independent control in China's information industry, the localization and security of servers has become an important issue, and under such a demand, edge computing technology has received wider and wider attention.

Edge computing refers to the placement of computing resources closer to the device or user, which for data centers is a system located at the edge of the network. Typically, the system is connected to a cloud service some distance from the user or device. By moving data processing to the edge, wait times are reduced and most of the data is processed near the user or device. The main hardware to realize this function is the edge computing server, which therefore has the advantages of real-time, intelligence, and security.

Real-time

Edge computing servers are able to process data that is generated at the "edge. Taking the controversial "autonomous driving" as an example, the self-driving car itself is a high-performance computer that needs to collect data from a large number of sensors. In order to operate safely and reliably, it needs to react quickly to the surrounding environment, and any delay in processing speed could be fatal. If only traditional cloud computing is utilized, while data processing is primarily done in the cloud, it can take several seconds to transfer data back and forth between central servers, which is too long for autonomous driving. Edge computing servers make it possible for self-driving cars to process data more quickly on the vehicle side, without the need to transfer data back and forth between the vehicle and the cloud, given the need for "on-the-fly computing".

Intelligence

With edge computing, a large number of functions within the network can be handled directly at the edge node. Traditional architectures require functions to be processed back at the central server, but now they can be processed directly at the edge and return the corresponding results, a feature that can be used in a variety of scenarios, such as authentication, log filtering, data integration, image processing, and TLS (HTTPS) session setup, among others.

Security

The edge computing server eliminates the need to transmit data from endpoints to the cloud for processing, which reduces the risk of privacy leakage of sensitive data from endpoints, realizes "burn-on-reading" of data, and greatly protects the privacy of users' data, and reduces the possibility of the central server being invaded by outsiders. The newest version of the Intel? Core? processor is the newest version of the Intel? Core? processor, which is now available in a new version.

With these unique advantages, edge computing servers have a promising future, with potential applications including self-driving cars, augmented reality (AR), in-store personalized marketing, artificial intelligence (AI), big data analytics, manufacturing, and IoT devices.