5G development is ripening edge computing

- May 15, 2019-


The relationship between edge computing and 5G can be summed up in one word: each other is a corner. With the continuous development of the Internet, 5G came into being. On this basis, IDC, CDN, cloud computing and other technologies have sprouted, and the network architecture is changing. From the center to the edge, edge computing is well-deserved in the 5G era. One of the black technologies.


At the beginning of 5G, 5G defined three application scenarios: eMBB, mMTC and uRLLC. It is worth noting that each business scenario has its own challenges. For example, eMBB will generate ultra-high demand for network bandwidth of hundreds of Gbps; uRLLC requires end-to-end 1ms ultra-low latency support; mMTC will generate massive data, resulting in huge operational management challenges, which can only be supported by unified centralized monitoring in the cloud. Such a complex IoT system.


Edge computing just happens to solve these problems. First, edge computing devices will provide connectivity and protection for new and existing edge devices; second, while 5G will provide better connectivity and lower latency for cloud-based applications, there is still processing and storage of data. the cost of. Hybrid edge computing /5G solutions will reduce these costs; finally, edge computing allows more applications to run at the edge, reducing the latency caused by data transfer speed and bandwidth limitations, and making initial Analysis, sharing part of the work for the cloud.


Not only does edge computing have a driving effect on 5G, but 5G and edge computing complement each other to a certain extent. On the one hand, thanks to the development of 5G itself, it will directly promote the development of edge computing; on the other hand, because 5G promotes the Internet of Things, it will also indirectly promote edge computing.


According to IDC, more than 50 billion terminals will be networked with devices in 2020, while 50% of IoT networks will face network bandwidth limitations, and 40% of data will need to be analyzed, processed and stored at the edge of the network. The scale of the edge computing market will exceed one trillion, becoming an emerging market that is equally divided with cloud computing.