In recent years, with the rapid development of Internet of Things and artificial intelligence technology, edge computing and network computing have become hot topics. If you want to understand the relationship between edge computing and network computing , follow the editor to find out.
Edge computing is a new computing model that places computing resources and storage resources as close as possible to the data source to provide faster data processing and response capabilities. Network computing refers to the use of Internet computing models to concentrate computing resources on the cloud for processing.
Edge computing and network computing are inseparable
Although edge computing emphasizes placing computing resources close to data sources to provide low-latency and high-performance data processing capabilities, in fact it still requires network support. Edge devices usually communicate with the cloud through the network and upload the collected data to the cloud for processing. Network computing provides the data transmission channels and cloud computing platform required for edge computing.
The relationship between edge computing and network computing can be summarized as: edge computing is an extension and supplement of network computing
In the traditional network computing model, data needs to be uploaded from the edge device to the cloud for processing, and then the processing results are returned to the edge device. This method has problems such as high latency and high pressure on network bandwidth. The emergence of edge computing solves these problems. It moves computing and storage functions closer to the data source, achieving low-latency data processing and fast response capabilities.
The combination of edge computing and network computing can make IoT devices more intelligent and efficient
For example, in the field of smart homes, edge computing can move the control functions of home devices to smartphones, eliminating the need to rely on the cloud for control. In this way, it can not only improve the response speed, but also reduce dependence on the cloud and increase the stability and reliability of the system.
The combination of edge computing and network computing can also play an important role in other areas
For example, in the field of industrial automation, edge computing can realize real-time monitoring and remote control of industrial equipment, improving production efficiency and quality. In the field of transportation, edge computing can realize intelligent monitoring and regulation of traffic flow and provide more optimized and intelligent transportation services.
En résumé, edge computing and network computing are complementary to each other . Edge computing provides low-latency and high-performance data processing and response capabilities by placing computing and storage functions close to the data source. Network computing provides the data transmission channels and cloud computing platform required for edge computing. The combination of edge computing and network computing will play an important role in the Internet of Things, industrial automation, transportation and other fields, promoting the intelligent and efficient development of society.