The development of the Internet of Things has enabled a large number of devices to be connected to the Internet, generating massive amounts of data at the edge of the Internet. Edge computing has gained favor with its accurate and efficient real-time response speed.
According to the "China Manufacturing Internet of Things Market Forecast 2016-2020" report released by IDC, 40% of the data will need to be analyzed, processed and stored at the network edge in 2018. Obviously, the cloud service architecture cannot meet this requirement well, and edge computing provides edge intelligent services at the edge of the network close to the data source, which can achieve faster network service response and make up for the untimely response and function of cloud computing. The problem of high power consumption meets the needs of the security industry in real-time business, security and privacy protection, etc., so it is widely used in drones, oil and gas remote monitoring, automotive automatic driving and other fields. According to IDC's forecast, by 2020, there will be 50 billion sensing devices in the Internet of Things, and 50% of computing will be on edge devices. Cloud-edge fusion is a common model in the future.
For the above reasons, companies have begun to seize the commanding heights of the edge computing market. Up to now, many well-known companies have begun to set foot in the edge computing industry. Hikvision started the application of AI Cloud+ industry solutions, implanted the "cloud-edge integration" technology into multiple industries, and provided AI solution services for emergency command, people's livelihood services, traffic management and other fields; Dahua shares in order to adapt to the new situation To meet the requirements of the construction of social security prevention and control system, a set of intelligent networking solutions for edge computing nodes have been customized, adopting a local distributed architecture, unified data format, and at the same time solving the bottleneck of centralized processing to achieve unlimited expansion capabilities of the system; Huawei, Intel, ARM, etc. The company jointly established the edge computing alliance, which is committed to promoting the cooperation of various industrial resources and leading the healthy development of the edge computing industry.
At the same time, modern applications such as the Internet of Things and smart cities are also key drivers for relying on edge computing. The high-frequency fragmented computing of the Internet of Things brings delay and congestion problems. Edge computing can share part of the computing power of the cloud, so that applications such as machine learning, augmented and mixed reality in the AI ​​era are no longer limited by the network bandwidth transmission capacity. Robert Topol, general manager of 5G business and technology of Intel's Communications and Equipment Division, said: Edge computing can greatly expand the level of equipment connected to computers and networks, and the combination of large-scale applications of 5G networks will completely unleash the potential of the IOT industry. At the same time, edge computing, as a safe and efficient computing platform and computing method, supports a series of steps such as laying networks, installing sensors, and building system platforms in smart cities at the back end.
Conclusion: Edge computing has attracted the attention of many enterprises and industries due to its security and efficiency. In the era of artificial intelligence, edge computing will play an increasingly important role in the security industry, and its development is worth looking forward to.
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