With the rapid development of Internet of Things technology, edge computing , as a new computing model, has attracted more and more attention. In order to better promote the application of edge computing in the field of Internet of Things, China Mobile IoT and its partners have successfully held the "China Mobile Internet of Things-Edge Computing Sharing Session" recently. This sharing session focused on the definition, application scenarios, technical architecture, and standardization progress of edge computing, and conducted in-depth discussions, providing a rich and practical technical feast for related companies and individuals in the Internet of Things field.
1. Conference Background
With the continuous expansion of IoT application scenarios and the explosive growth of data volume, cloud computing has been unable to meet the needs of low latency and high efficiency. As a new computing model, edge computing sinks computing and storage capabilities closer to users. Nearby, faster response and higher reliability are achieved. Therefore, edge computing has gradually become one of the hot technologies in the field of Internet of Things. In order to better promote the application of edge computing in the field of Internet of Things, China Mobile Internet of Things and its partners held this sharing session.
2. Content of the meeting
1. Definition and development status of edge computing
The sharing session first started from the definition of edge computing, and introduced the concept, characteristics and development status of edge computing. Compared with cloud computing, edge computing is closer to terminal devices, which can process and store data faster, while reducing data transmission costs and network burden. At present, edge computing has been widely used in smart home, smart manufacturing, Internet of Vehicles and other fields, providing better solutions for these fields.
2. Edge computing application scenarios
In the second part of the sharing session, the application of edge computing in different IoT application scenarios was highlighted. Taking smart home as an example, edge computing can realize local control of equipment and real-time processing of data, bringing users a more convenient and intelligent life experience. In the field of Internet of Vehicles, edge computing can improve the safety and intelligence of vehicles, and realize functions such as automatic driving.
3. Edge Computing Technology Architecture
After introducing the definition and application scenarios of edge computing, the sharing session further explored the technical architecture of edge computing. Starting from multiple levels such as hardware, software, and platform, the implementation and key technologies of edge computing are introduced. At the same time, it also introduces the open source framework and related standards of edge computing, providing developers with more references and choices.
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