China News Service, Beijing, June 10 (Reporter Liu Yuying) In the 5G era, under the huge demand of VR/AR (virtual reality, augmented reality), cloud games, online education, driverless, industrial production and other scenarios, edge computing welcomes Come to the wind.
Edge computing is currently considered to be the next "blue ocean market."
At the 2021 Asia-Pacific Content Distribution Conference and the Ninth CDN Summit held recently, many content distribution (CDN) companies have used distributed architecture and resources to take edge computing as a new growth point.
Telecom operators, cloud computing vendors, and IT vendors are also cutting into this field.
The so-called edge computing is relative to central computing. It refers to the side close to the source of things or data, using an open platform that integrates network, computing, storage, and application core capabilities to provide services nearby.
Huang Shalin, deputy general manager and CTO of Wangsu Technology, said at the summit that 5G will bring more device access and faster transmission rates, and heavy applications such as cloud gaming and VR/AR have requirements for latency and computing power. They are all very high. Central computing has been unable to meet the delay and other requirements, and edge computing nodes need to be deployed. Now the demand for edge computing has exploded.
"The future of edge computing is here. From mature CDNs, to the booming live video streaming, online education, to cloud gaming, driverless and other applications under exploration, people's exploration of edge computing technology is going deep. ", Huang Shalin said in an interview that the edge computing scene has continued to appear in the past two years.
Autonomous driving is another important application scenario of edge computing.
Autonomous driving has very demanding requirements for network bandwidth. If all the information encountered by the vehicle is transmitted to the cloud for processing, at least 100Mbit/s is required to meet the requirements.
When the vehicle is running at high speed, the requirements for time delay are also extremely high, and it must be kept between 1 millisecond and 10 milliseconds.
In addition, autonomous driving will also generate massive amounts of data, and the requirements for computing power are also high.
And 5G+edge computing can meet these needs well.
Recently, the Ministry of Industry and Information Technology of China released 10 typical application scenarios of 5G+ Industrial Internet. Edge computing technology is used in scenarios such as remote device control, flexible manufacturing, and machine vision quality inspection.
Edge computing has become an internet celebrity technology in the 5G era, and the industry has begun to set sail.
Cao Jiguang, deputy director of the Institute of Technology and Standards of the China Academy of Information and Communications Technology, previously stated that edge computing enables thousands of industries and the application demand is soaring. Blue ocean market.
Research firm Gartner predicts that by the end of 2023, more than 50% of large enterprises will deploy at least 6 edge computing applications for the Internet of Things or immersive experiences. In 2019, this number was less than 1%, and by 2025, 75% The data will be generated at the edge.
Liu Jinglei, deputy director of the Institute of Network and IT Technology of China Mobile Research Institute, said that operators' 5G edge computing is gradually transitioning from dotted pilot projects to large-scale commercial use. 2021 will be a very critical year for commercialization.
In recent years, developed countries and regions including the United States, the European Union, Japan and South Korea have strengthened their strategic layout of edge computing, and have included edge computing as a key link, core technology, potential industry and application blue ocean in the digital transformation of the industry.
For example, the National Science Foundation and the National Bureau of Standards of the United States included edge computing in the project application guidelines, and continued to promote edge computing deployment research; South Korea has built multi-access edge computing centers in 8 major cities.
China also attaches great importance to edge computing, vigorously promotes the technology, standards and industrial development of edge computing in the fields of industrial Internet and car networking, and promotes the development of edge computing to a new height.
However, the edge computing is still in the exploratory period, and there are many problems to be solved in the aspects of technology, network architecture, network deployment and operation.
"In the future, edge computing will require higher computing power, finer computing granularity, and more complex computing power types. From general computing to complex AI and GPU computing iterations, security requirements are also higher," Huang Shalin pointed out. It poses a new challenge to edge computing technology.
Mei Jie, the second-level researcher of the Network Development Division of the Information and Communication Development Department of the Ministry of Industry and Information Technology, said that to develop the edge computing industry, it is necessary to accelerate the progress of technology and product research and development, and integrate and utilize the advantages of telecommunication operation enterprises, manufacturing enterprises, Internet enterprises, and production, education and research. Promote technological development and equipment maturity; typical applications should be used as the starting point to drive the maturity and development of the entire technology industry.
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