With the rapid development of technologies such as the Internet of Things and artificial intelligence, edge computing , as an important supplement to cloud computing, is increasingly becoming a hot topic in industry and academia. So, what are the three aspects of edge computing, edge and cloud?
First of all, let's understand the "end". In edge computing, end refers to terminal devices such as IoT devices, smartphones, and wearable devices. These devices have computing, storage, and communication capabilities to process and transmit data at the edge close to the user. The existence of the terminal enables users to obtain faster response speed and lower delay, while also reducing network bandwidth and energy consumption.
Next is "side". Edge refers to edge servers or edge computing platforms, which are located close to the edge and can provide resources such as storage, computing, and communication. The edge server can cooperate with the end to process data, which reduces the burden on the cloud and improves data processing efficiency and response speed. In addition, the edge server can also perform local learning and inference on the data, which improves privacy protection and security.
Finally, there is "cloud". Cloud refers to cloud computing and cloud platforms, which are located remotely and can provide large-scale computing, storage and network resources. In edge computing, the cloud is mainly responsible for the analysis and processing of big data, as well as the deployment of complex algorithms and applications. In addition, the cloud can also provide services such as unified management and security assurance.
Taken together, the three aspects of edge computing, edge computing and cloud computing, correspond to different levels and locations of data processing. The computing and storage capabilities of the terminal can cooperate with the edge server for data processing, and the edge server can transmit the processed data to the cloud for storage and analysis. This hierarchical data processing mode improves data processing efficiency and response speed, reduces network bandwidth and energy consumption, and also improves privacy protection and security.
In practical applications, the three aspects of edge computing, device, edge, and cloud, also show a trend of integration and innovation. For example, in the fields of smart home and smart manufacturing, terminal devices can be processed and controlled locally through edge servers, and the processed data can be transmitted to the cloud for big data analysis and storage. In the fields of autonomous driving and drones, terminal devices can perform real-time image processing and environmental perception through edge servers, and transmit the processed data to the cloud for algorithm optimization and update. This integration and collaboration of devices, edges, and clouds has promoted the rapid development of technologies such as the Internet of Things and artificial intelligence, as well as innovations in application fields such as smart hardware and smart cities.
To sum up, the three aspects of edge computing, edge computing and cloud computing, respectively correspond to different levels and locations of data processing. This hierarchical data processing mode improves data processing efficiency and response speed, reduces network bandwidth and energy consumption, and also improves privacy protection and security. In the future, with the continuous development of technologies such as the Internet of Things and artificial intelligence, the three aspects of edge computing, edge computing, and cloud will also show closer integration and coordination, and promote innovation and development in areas such as smart hardware and smart cities.
This article is published by mdnice multi-platform