浅析边缘计算与云计算的区别(边缘计算和云计算之间的区别)

Interpretation of cloudeasy cloud service With the rapid development of 5G communications, big data, Internet of Things, cloud computing, edge computing and other technologies, the Internet of Everything The intelligent era is accelerating. Data predicts that the total data traffic of cloud computing will reach 18.9ZB in 2021, posing a huge challenge to the currently widely used cloud computing model.
In the future, the concept of edge computing will emerge to make up for the shortcomings of centralized cloud computing.
Cloud computing is a centralized service, and all data is transmitted to the cloud computing center through the network for processing. Cloud computing is an Internet-based model for the addition, use, and interaction of related services, typically involving the provision of dynamically scalable and often virtualized resources over the Internet.
Edge computing is an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source of objects or data to provide the closest service. Its applications are initiated on the edge side, generating faster network service responses and meeting the industry's basic needs in real-time business, application intelligence, security and privacy protection.
If cloud computing is compared to the brain of the entire computer intelligence system. Then edge computing is the eyes, ears and hands and feet of this system. The core server allows the intelligent system to have strong artificial intelligence, but if this artificial intelligence is deaf and blind, it will not play a big role.
A pain point often faced in big data applications is the failure to collect appropriate data. Edge computing can provide the most accurate and timely data source for big data algorithms on core servers.
The combination of edge computing and cloud computing makes the entire intelligent system not only clear-minded, but also sharp-sighted and agile. A computer system that relies entirely on cloud computing is like an army that has to consult the headquarters for everything. It will appear rigid and slow to respond when it requires a lot of interaction with the outside world, and will stop completely once there is a problem with the network.
Another aspect is: edge computing and cloud computing are two completely different things, and one will not replace the other. But there is currently too much content that confuses IT professionals. It is proposed that edge computing will replace cloud computing, which is equivalent to saying that PCs will replace data centers.
All public cloud providers have IoT strategies and technology stacks that include or incorporate edge computing. Edge computing and cloud computing can work together, but edge computing is a specialized system for special needs. Cloud computing is a more general platform that can also be used with specialized systems in the old client/server model. Edge computing and cloud computing collaborate with each other. They optimize and complement each other and jointly enable the digital transformation of the industry.

The data processing locations are different and the data processing speeds are different.
1. Cloud computing stores computing tasks and data in remote data centers and processes and stores them through network transmission. Edge computing places computing and storage tasks on edge devices or edge nodes close to the data source, reducing the delay in data transmission in the network.

2. Since edge computing places tasks closer to the data source, it can process and respond faster, reducing network transmission delays. Cloud computing, on the other hand, faces delays and bandwidth limitations in data transmission over the network, and takes longer to process and respond to requests.

Application scenarios, cloud types, edge computing advantages