When performing edge computing, it can probably be divided into the following processes: First, various types of sensors will convert various types of physical information into digital information, and then the edge computing gateway will collect these digital information, and the information will be transmitted to the edge server or cloud server, and finally the edge server will calculate locally and perform the corresponding actions.
What is edge computing?
PM645B With the rapid development of artificial intelligence and the Internet of Things industry, the number of intelligent terminals around us is growing rapidly. The cloud computing as the leading mode has been unable to meet the needs of these intelligent terminals for low delay, fast connection and other aspects, therefore, people began to set up some small computing centers near these intelligent terminals, when needed, you can quickly and timely deal with various problems caused by intelligent terminals, this process is called edge computing. In other words, edge computing is to provide edge intelligence services near the edge of the network near the terminal or data source, combined with the distributed open platform of network, computing and storage, so as to meet the key needs of various industries in terms of fast connection, real-time business, data analysis, intelligent response and so on.
The process of edge computing
When performing edge computing, it can probably be divided PM645B into the following processes: First, various types of sensors will convert various types of physical information into digital information, and then the edge computing gateway will collect these digital information, and the information will be transmitted to the edge server or cloud server, and finally the edge server will calculate locally and perform the corresponding actions.
The necessity of edge computing
1. Functionally, edge computing can complement the “shortness” of cloud computing.
PM645B In the traditional cloud computing process, a large amount of data collected from the terminal is first gathered from the hierarchical network to the cloud, and then analyzed and processed in the cloud center. Too much data processing leads to low data processing efficiency, and in the future, with the expansion of the scale of intelligent terminal equipment, terminal data will only increase, relying only on cloud computing to process data will not be able to fully meet the needs of daily use.
Compared with cloud computing, which requires data to be transmitted to distant clouds for processing, edge computing greatly improves efficiency and reduces latency.
In addition, the intelligence of terminal products will also increase the PM645B security risk of data, and some people at home and abroad have begun to worry that if these terminal data are leaked in the cloud, the privacy of users will not be protected. In edge computing, the data is stored in the edge server, and the risk is controllable.
Therefore, the establishment of a secure edge computing infrastructure near the edge terminal can effectively complement cloud computing, and the construction of a “cloud-edge-end” system has become an important trend of future development.