The reason why edge computing is important is that even when 5G is actually commercialized, it can realize the application scenario of ultra-large bandwidth (eMBB), but the emergence of a huge amount of data means that it is necessary to find an undertaking point in the process of cloud and terminal transmission. Preprocess the data and choose whether to go to the cloud.
Evolution of Edge Computing Applications
"The current 4G network can basically solve 80% of the transmission problems. In comparison, the 5G network only reduces the rate by 30 milliseconds." For existing applications, most of the current network transmission does not have much problem , 5G is actually facing the adaptation problem of new applications.
"When 5G is in the Internet of Things, the big problem it faces will be the coverage rate. Once the base station does not have coverage in place, it is difficult to guarantee 100% data transmission, and there may even be problems such as flashes during operation. In addition, a data packet From one end to the other, there will be a lot of retransmissions, not all of them can be passed directly, this also involves the underlying protocol. Therefore, there are many practical problems to be solved.” The person added, this is also the edge computing in the 5G era The reason why the role is becoming more and more important.
5G will have overall changes in network architecture. In short, 5G network is a network architecture reconstructed through SDN (Software Defined Network)/NFV (Network Function Virtualization) and other methods. It itself has infrastructure equipment or servers at the edge of the network, which can directly migrate the capabilities of the data center to the edge of the network through software-defined methods, and dynamically adjust the capabilities of edge computing according to the demand of the network.
At present, whether the processing of Internet of Things data by users is placed in the data center, before transmission or at the edge, each actually accounts for one-third of the demands. However, the agency expects that in the future, with more analysis and AI capabilities on the edge layer, these analysis functions will be promoted to achieve a balance between the edge layer and the core layer.
Edge Computing - Peripheral Nerves of Intelligent Transportation
In the foreseeable future, the rapid development of two industries is very clear, one is the communication industry, and the other is the transportation industry, because the rapid development of society brings more information and physical exchanges, information Communication depends on communication, and physical communication depends on transportation. Therefore, as a combination of the most advanced communication technology and transportation technology, the field of intelligent transportation has always been a focus of attention of the society.
In the past ten years, smart transportation has enabled geometrically growing urban vehicles to obtain real-time road condition information, kept the world-renowned high-speed railway running at high speed, and allowed sailors on ocean voyages to conveniently communicate with their families in real time. However, many technologies expected by the industry, such as autonomous driving and unattended rail transportation, are still not fully realized.
With the development of new technologies, we are gradually entering a fully connected "smart society", and the new technology "edge computing" in the field of Internet of Things is applied in the field of intelligent transportation. This has ushered in the hope of solving many problems that have plagued the development of the industry for a long time. Edge computing refers to the deployment of computing power and services at the edge of the network through the Internet of Things network, providing communication and computing services to nearby terminals, sensors, and users, and solving the massive heterogeneous connections of the Internet of Things system in highly distributed scenarios. Challenges such as real-time business, business intelligence, data interoperability, and security and privacy protection. In layman's terms, in the future intelligent transportation application environment, "cloud computing" is equivalent to the brain of smart devices, handling relatively complex processes; while "edge computing" is equivalent to the nerve endings of smart devices, performing some "subconscious" Reaction.
The advent of edge computing makes intelligent transportation safer. Whether it's road, rail, sea or air, safety is the most important thing in the transportation industry. For example, the most important reason why the automatic driving technology that major technology companies have spared no effort to invest in recently cannot be applied is that it cannot ensure absolute safety on the road. The arrival of "edge computing" has brought great help to the solution of these problems. Like humans, our first reaction to danger is usually not through the brain, but "subconsciously". For example, when a self-driving car needs to stop in time in the face of danger, if it still needs to upload data to the "cloud", the command to stop is obtained through calculation, and then sent to the car, and the car then responds. Then it is better to let the vehicle itself have a certain computing power to deal with this problem. At the same time, we can also envision a scenario where sudden natural disasters, signal interference or technical failures cause self-driving cars and trains in a certain area to fall into a state of no network. Then, they can only rely on the computing power endowed by edge computing to make a "subconscious" response to ensure their safety.