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What is 5G Core Edge Computing?

2025-02-23 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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This article mainly introduces "what is 5G core edge computing". In daily operation, I believe many people have doubts about what 5G core edge computing is. The editor consulted all kinds of data and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the question of "what is 5G core edge computing?" Next, please follow the editor to study!

01. What is marginal computing?

We can use the living habits of octopus to understand what is MEC.

Octopuses have the highest IQ among invertebrates. They are very clever and quick in hunting, highly coordinated between their wrists and feet, and never tangled or knotted. This is because 60% of the octopus's huge number of neurons are distributed on the octopus's eight legs and only 40% of the brain, which is a "multiple cerebellum + one brain" structure, similar to distributed computing.

Edge computing is also a kind of distributed computing, which devolves the processing of data, the operation of applications and even the implementation of some functional services from the network center to the nodes at the edge of the network.

In the 5G era, the number of connected devices will increase greatly, and a large amount of data will be generated on the edge of the network. If these data are processed by the core management platform, there will be problems in agility, real-time, security and privacy. However, by using edge computing, we can deal with large amounts of data nearby, a large number of devices can work together efficiently, and many problems can be easily solved.

The Edge Computing Alliance ECC defines four areas for edge computing:

Device domain (perception and control layer)

Network domain (connection and network layer)

Data domain (storage and service layer)

Application domain (business and intelligence layer)

These four "layer domains" are the computing objects of edge computing. Its application is launched on the edge side (octopus foot) to generate faster network service response and meet the basic needs of the industry in real-time business, application intelligence, security and privacy protection.

5G supports edge computing from the beginning of architecture design, and the network session management mechanism is designed in detail. CCSA passed the project of edge computing line standard and research report as early as September 2017, and the edge computing industry specification entered the standard stage.

02. Where is the edge calculation good?

Edge computing provides computing, storage and other infrastructure close to data sources or users, and provides cloud services and IT environment services for edge applications.

Compared with centralized deployment, edge computing solves the problems of long delay and excessive aggregate traffic, and provides better support for real-time and bandwidth-intensive services.

Edge computing can realize application localization, and their own applications such as parks, enterprises, venues and so on can effectively reduce costs and realize smart factories, smart offices and smart cities.

The new ultra-low latency services can only meet the business demands at the edge, such as autopilot, robot collaboration and telemedicine diagnosis.

\ 1. Low cost

Edge computing supports local data processing, and local unloading of large traffic services can reduce the backhaul pressure and effectively reduce costs.

We can understand it through two scenario examples:

Scenario 1: private network of enterprise park

Through edge computing, enterprise data is directly distributed locally, without the need to bypass the large network. Traffic can be packaged and sold to attract enterprise customers. Scenario 2: Museum HD video experience and AR business

Through edge computing, local service control and shunt billing can be carried out, and users can use traffic at a lower cost. \ 2. Low delay

The data transmission delay of mobile network is composed of empty port delay and network side transmission delay.

Empty port delay mainly refers to the transmission delay between base station and terminal.

The transmission delay on the network side refers to the transmission delay from the base station to the middle part of the core network.

The reduction of delay depends on the improvement of the performance of the air port and the shortening of the transmission distance on the network side.

In the 5G era, the service processing function sinks to the base station based on edge computing, and the data transmission delay can reach 0.5ms; when it sinks to the transmission convergence layer, it can reach within 5.5ms. 3. Large bandwidth

Edge computing platform provides enterprises with "private cloud" hosting services, making full use of the cloud characteristics of operators' networks to further meet the needs of large bandwidth, and can provide enterprises with high-quality network resources and large-bandwidth services by accessing the operators' high-quality networks.

03. Where is the edge calculation?

With the accelerated development of edge computing, a variety of new business opportunities are gradually emerging.

Edge computing scenarios are diversified. According to the deployment location and data characteristics, they can be summarized as two basic capabilities: local data processing and network information openness (as shown in the following figure):

China Mobile and Huawei deploy MEC at Beijing South Railway Station for faster video viewing and network access

China Telecom cooperates with Huawei to deploy MEC in Zhejiang factories for camera video capture and local processing.

Vodafone IPTV business plan, billing on a monthly basis

Ali Park pilot MEC to verify the effect of local diversion delay and rate improvement, the results show that there is a significant improvement and so on. Zhejiang Mobile

Apply MEC innovative technology to enhance business experience

After the application of MEC innovative technology, the initial waiting time of the network has been reduced from 21.657s to 4.476s, and the average download rate of online video has been increased from 1562kbps to 3256kbps. Intelligent navigation

In the National Museum project, users can order packages and distribute services in real time through QR codes, and the HD video and AR/VR gaming experience is guaranteed. Docked with the local server in the venue to provide ultra-high definition business experience with low latency and low Catton.

In this project, operators provide infrastructure and network construction, computer room power supply, hardware (optional), equipment vendors output deployment implementation, and provide MEC infrastructure and software functions.

04. Promising youth in the 5G era

In "how will 5G change our lives", we have imagined the changes that multiple 5G will bring to our lives. Edge computing plays an indispensable role in this:

In the application of vehicle networking, the edge computing application can analyze the data of vehicles and roadside sensors, and send hazard warnings and other delay-sensitive information to surrounding vehicles.

In terms of intelligent robots, edge applications can provide high-performance computing power, perform time-sensitive data processing, and feedback the results to the end device.

In terms of autopilot and telemedicine, edge computing can achieve ultra-low latency and improve business security.

With the help of edge computing, the user experience of UHD video has also been improved. in terms of UHD video, edge computing can optimize the user experience, with fewer stutters and lower latency, and the initial wait time can be reduced to 1/5. The video download rate can also be tripled.

Thus it can be seen that edge computing is gradually going deep into a variety of new business opportunities, and there is a bright future in the 5G era.

At this point, the study of "what is 5G core edge computing" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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