South Korea’s “Intelligent Edge Computing” was adopted, on July 30th, as an international standard at the recent ITU-T SG11 International Conference that was held in Geneva, Switzerland from July 18 to 27.
Edge computing, is a new computing method that has been developed with guidance from South Korea’s science and technology leadership and has now become a global standard. The Electronics and Telecommunications Research Institute (ETRI), SK Telecom and Korea Polytechnic University have jointly developed the technology since 2017 under the leadership of the National Radio Research Agency.
Industry insiders expect that the new computing technology will give the South Korean cloud computing industry the ability to catch up with those of leading countries that have been working on edge solutions and systems since all hardware, software and communications protocols will need to adhere to the new standard.
The ITU conference defined the requirements of intelligent edge computing in a machine learning environment and a service delivery structure. Standards have been set for intelligent edge computing that can support connections with multiple IoT devices and efficiently deliver AI services.
Current cloud computing sends and receives data through a centralized data center, whereas edge computing is a technology that processes vast amounts of data by taking some portion of the data away from the central server to the various devices on the “edge” of the network that make contact with the physical world or end users.
As edge computing is recognized as a future computing method, global companies such as Amazon, Microsoft, Google, Intel and HPE are stepping up efforts to develop related technology and services. In the opening ceremony of the PyeongChang Winter Olympic Games, edge-computing technology was used in an Olympic flag light show by drones.
This technology is garnering attention as a core technology that can complement the slow data processing speed and security of cloud computing in the 5G, artificial intelligence (AI), and the Internet of things (IoT) environments. In future industrial sectors, such as autonomous vehicles and the industrial IoT, where real-time data processing is important, the technology is seen as a core technology.