The relationship between edge computing and cloud computing. Edge computing promotes the development of IoT technology

"Implementing 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, the ever-increasing data has given rise 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 we compare cloud computing to the brain of the entire computer intelligence system. Then edge computing is the eyes, ears and hands of this system. The core server makes the intelligent system have a strong artificial intelligence, but if this 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 in mind, but also sharp in ears and eyes, and flexible in hands and feet. Edge computing will promote the development of Internet of Things technology in the future.

Edge computing can greatly expand the scale of computers and network-connected devices, and the combination with large-scale applications of 5G networks will completely release the potential of the IOT industry. But at this point we also need to mention that edge computing is not perfect, and like other aspects of IT, edge computing has its own set of cybersecurity threats and vulnerabilities. These risks include weak passwords to access devices, insecure communications, and Physical Security Risk. In addition to security issues, the current development of edge computing is also constrained by massive and heterogeneous connections, real-time business, smart applications, and data optimization.

In the field of intelligent security, in addition to making up for the problems of untimely response and high power consumption of cloud computing, edge computing also meets the needs of the security industry in real-time business, security and privacy protection. In this era, edge computing has become a powerful behind-the-scenes driving force and auxiliary tool. The cloud, edge, and end architecture brought by edge computing can facilitate the collection, storage, calculation, and application of data hierarchically and hierarchically, and improve facial recognition based on deep learning. The 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 in smart cities at the back end, bringing better application experience to the security industry.

Even in the smart home industry, the definition of interaction scenarios between different smart home products requires edge computing. At this time, 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, edge computing at this stage is not only focused on the security industry, AI chips, and smart home industries, but also in wearable devices, drones, robots, Internet of Vehicles (autonomous driving), oil and gas remote monitoring, and automotive autonomous driving. There are already traces of it. 

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