Edge CompuTIng helps reduce the computational load of traditional cloud architectures and improve data and data processing at the edge. Traditional architecture changes have the opportunity to further implement AI and 5G in addition to greatly improving computing efficiency and data applications. With the development of emerging technologies, it became a hot technology topic in the market in 2017. Tuoba Industrial Research Institute estimates that the annual compound growth rate (CAGR) of the global edge computing-related market scale will exceed 30% from 2018 to 2022. Let's take a look at the related content with the network communication Xiaobian.
Liu Gengrui, an analyst at Tuoba Industrial Research Institute, pointed out that traditional cloud architecture has led the computing market for many years and has led to the rise of new business opportunities such as cloud storage and big data analytics. However, with the emergence of more massive and real-time computing needs, traditional cloud architecture has Gradually unable to load future demand; edge computing is at the edge of field devices, gateways, etc., converging network, computing, storage, self-management and other capabilities, and establish a distributed architecture, which helps to achieve real-time response of equipment on the field side, It also improves the efficiency of data collection and advanced applications, and reduces the cost of traditional architecture.
Standard organizations and supply chains have actively deployed ecosystems
Since edge computing will cause structural and substantive changes in the market, many standards organizations are actively setting standards, including the European Telecommunications Organization ETSI's MulTI-access Edge CompuTI (MEC) and OpenFog's Open Fog ( Fog CompuTIng), the edge computing industry alliance led by Chinese manufacturer Huawei, actively and continuously released the reference architecture and established the ecosystem.
In addition, many vendors in the industry chain have begun to introduce their own edge computing solutions, such as cloud-based Microsoft launched Azure IoT Edge, bringing machine learning, advanced analysis and AI services closer to data sources. Front-end IoT devices; chip IP vendor ARM also introduced Mbed Edge edge computing platform to assist with protocol translation, gateway management and edge computing; in addition, the rest of the industry chain such as servers, network equipment, industrial computers , traditional manufacturing, open source organizations, etc. have corresponding solutions launched.
The initial implementation of AI and 5G will rely on the help of edge computing
The importance of edge computing since becoming a prominent student in 2017 is more evident in AI artificial intelligence and 5G. Liu Gengrui analyzed that in the past, AI had to rely on powerful cloud computing capabilities for data analysis and algorithm operation. However, with the improvement of chip capabilities and the maturity of edge computing platforms, it was possible to give field devices and gateways a relatively advanced AI capability. The preliminary screening and analysis of data and the real-time response of equipment and equipment can further enhance the existing services in the industrial field, smart city and consumer market, such as real-time warning, security monitoring, voice assistant, preventive maintenance and other applications.
Edge computing is also an important technological change for 5G. Compared with the past 3G and 4G eras, applications with multiple applications and large differences in network requirements will occur simultaneously on 5G networks. Therefore, 5G must have corresponding applications for different applications. The solution, edge computing, provides mobile users with lower latency, better network quality, and gives telecom operators the opportunity to launch more innovative services.
The above is about the development of network communication-edge computing accelerated AI and 5G, and the market size CAGR will exceed 30% in 2022. If you want to know more information, please pay attention to eeworld, eeworld electronic engineering will provide you with More comprehensive, more detailed, updated information.
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