Edge computing promotes the development of IoT technology

Edge computing promotes the development of IoT technology

　　 "Realizing the Internet of Everything" is the ultimate goal of the Internet of Things. In the 2.0 era of data processing in the Internet of Things era, growing data has given birth to the demand for edge computing. After processing, storing, and applying data on the edge close to the physical object, edge computing not only solves the problem of data transmission between devices and the cloud, but also meets the key needs of the industry in the digital transformation.

　　 If you compare cloud computing to the brain of the entire computer intelligent system. Then edge computing is the eyes, ears, hands and feet of this system. The core server allows the intelligent system to have a strong artificial intelligence, but if the artificial intelligence is deaf and blind, it will not play a big role. The combination of edge computing and cloud computing makes the entire intelligent system not only clear-headed, but also clear-eyed, and handy. Edge computing will promote the development of the Internet of Things technology in the future.

Edge computing

　　 Edge computing can greatly expand the magnitude of equipment connected to computers and networks, and combined with the large-scale application of 5G networks will completely release the potential of the IOT industry. But at this time we also need to mention that edge computing is not perfect. Like other aspects of IT, edge computing also has its own set of network security threats and vulnerabilities. These risks include weak passwords for accessing devices, insecure communications, and Physical security risks. In addition to security issues, the current development of edge computing is also restricted by the massive and heterogeneous connections, the real-time nature of services, the intelligence of applications, and data optimization.

　　In the field of intelligent security, in addition to making up for the problems of cloud computing's response time and high power consumption, edge computing also meets the security industry's needs in real-time business, security, and privacy protection. In this era, edge computing has become a powerful behind-the-scenes tool and auxiliary tool. The cloud, edge, and end architecture of edge computing can help data hierarchical and hierarchical collection, storage, calculation and application, and enhance the face based on deep learning. Accuracy of artificial intelligence algorithms such as recognition. At the same time, as a safe and efficient computing platform and computing method, edge computing supports a series of steps such as laying networks, installing sensors and building system platforms for smart cities at the back end, bringing a better application experience to the security industry.

Application of edge computing in the smart home industry:

　　 Even in the smart home industry, the definition of interactive scenarios between different smart home products requires edge computing. At this time, the edge computing acts as a gateway or a central control system, through the interconnection and intercommunication between cloud computing and edge computing collaborative devices, and scene control needs.

        Of course, the edge computing at this stage is not only focused on the security industry, AI chips and smart home industries, but also in areas such as wearable devices, drones, robots, Internet of Vehicles (automatic driving), remote monitoring of oil and gas, and autopilots. Traces of it have already appeared.

　　 But what can be expected is that with the gradual improvement of the edge computing system, all problems will be overcome, and edge computing will also bring the best application effects to the Internet of Things market and the artificial intelligence market.