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First, edge computing, hype or trend?
With the rapid development of science and technology, under the background of the Internet of Everything, the hot Internet of Things means that a large number of Internet of Things terminal devices will be connected to the Internet. According to Gartner's forecast, by 2020, the number of network equipment and terminal connections will reach 26 billion. With the large-scale access of the device to the Internet of Things, the massive amounts of data generated on the terminal device provide us with commercial value, but also challenges data processing.
It is understood that the data generated by the network edge devices has reached a massive level, which undoubtedly aggravates the computing capacity burden of the cloud computing center, cloud computing has been unable to match the massive data processing, cloud computing model has been unable to effectively solve the cloud center load, transmission bandwidth , data privacy protection and other issues. According to IDC, the Internet data company predicts that by 2020, the total amount of data in the world will be greater than 40ZB. Due to the limited network bandwidth and the need to meet real-time response, edge computing has become one of the trends in the development of the Internet of Things.
Second, there are big applications on the edge <br> In the era of big data processing 2.0, the data types are more complex and diverse. The emergence of edge computing improves the network transmission performance of data, ensures the real-time processing of data, and can provide users with more intelligence. , faster use experience. The influx of large amounts of capital also gave rise to more extensive applications on the margin.
1) Smart Home In current smart home devices, many devices connect the device to the current cloud computing center through a WiFi module, but this does not meet the need for communication between smart home devices. Different interactive scenes in smart homes require edge calculations. This edge calculation can be embodied in gateways, central control systems, and other devices.
2) Smart traffic With the increase of traffic data volume, users' need for real-time traffic information will also increase. If all the data is transmitted back to the cloud computing center, there will be waste of bandwidth resources and delays. However, if the data is analyzed and processed on the edge server in real time, users can make decisions based on the real-time conditions of the road surface and available resources. Corresponding instructions. The application of edge computing in smart transportation is not only reflected in the intelligent traffic control system, car networking, but even in the driverless car.
3) For smart cities such as transportation and facility management based on geographic location applications, for location identification technology, the edge computing model is superior to the cloud computing model. In the edge computing model, geographic location-based data can be processed and collected in real time without having to be transmitted to the cloud computing center.
Third, the giant layout, the future has come 1) China Unicom at the ITU-T SG20 WP1 plenary session, China Unicom's leading "IoT requirements for Edge computing" international standard project successfully initiated, this is the first edge of ITU-T in the IoT field Calculate the project. Since then, China Unicom will take the lead in opening up the international standardization of ITU-T IoT edge computing and promote the healthy and sustainable development of the edge computing industry.
Multi-access edge computing (MEC) is a support and enabling technology for the convergence of ICT and OT. China Unicom took a mixed opportunity to actively explore and study the construction of the edge computing business platform. At present, China Unicom has launched trials for MEC in six cities in Tianjin, Shanghai, Hangzhou, Guangzhou, Chongqing and Chengdu, and has built the world's largest test bed for virtualized platforms for edge clouds, with more than 50 ecological partners.
2) ARM
In November 2017, IP vendor ARM launched a general framework PSA for IoT security and enhanced edge management Mbed Edge to solidify and strengthen the IoT market infrastructure and drive. It is understood that Mbed Edge is mainly to allow users to further expand the Mbed Cloud device management capabilities through the Internet of Things gateway, including onboarding, control and management of devices.
Mbed Edg also has three major advantages: The first is Protocol Translation, which can translate non-IP-compliant networking devices (such as LoRa and Modbus) into IP based and manage them together on Mbed Cloud; Track management, improve the IoT gateway's resilience, reduce downtime, and add new enhancements such as alert notifications, procedures, resources, diagnostics, and interface management; the third is edge operations, and users can vary in complexity according to their needs. The computing resources or calculation rules are placed in gateways and can operate independently even after disconnection from the cloud.
3) ZTE's ZTE Corporation has laid out a layout for the device layer of edge computing. I understand that ZTE has a complete edge computing solution and includes core technologies and patents such as virtualization technology, container technology, high-precision positioning technology, streaming technology, and CDN sinking. The related solutions cover six scenarios including service localization, local cache, vehicle networking, and the Internet of Things, meet the MEC Host architecture defined by the ETSI standard, and comprehensively consider edge computing management systems, edge computing centralized control systems, etc. according to actual application requirements. Program customization.
Zeng Linbo, Chief Product Planning Officer of ZTE Corporation, said that edge computing can create new value chains and ecosystems, so that all roles of the entire industry chain can benefit from enhanced cooperation. 4) Marvell and Pixeom
At the 2018 International Consumer Electronics Show (CES), Marvell and Pixeom team demonstrated a very effective, but economical, edge computing system that combines the Marvell MACCHIATObin community board with Pixeom's technology. Expands the capabilities of the Google Cloud PlatformTM service at the edge of the network. The Marvell MACCHIATObin community development board runs the Pixeom Edge Platform software, which can extend cloud functionality by orchestrating and running container-based Docker-based micro-services on MACCHIATObin.
Using Marvell's MACCHIATObin hardware as a basis, Pixeom demonstrated its container-based edge computing solution that provides video analytics at the edge of the network. This unique combination of hardware and software provides a highly optimized and direct way to put more processing and storage resources at the edge of the network. This technology can significantly increase operational efficiency and reduce latency.
IV. Summary <br> Edge computing covers many Internet of Things technologies, including peer-to-peer, grid computing, fog computing, blockchain, and content delivery networks (CDNs). It can be seen that its application is very extensive. The future of computing functions will be more or even completely transferred to the cloud, and the rapid development of the Internet of Things, the explosive growth of edge computing will also be just around the corner.
It is understood that from April 25 to April 27, 2018, the 2018th International Internet of Things Expo Spring Exhibition was organized by China Internet of Things Industry Application Alliance, organized by Shenzhen Wulian Media Co., Ltd. and Shenzhen Yixin Wulian Network Co., Ltd. It will be held at Suzhou International Expo Center. The expo will bring together the industry's most cutting-edge application requirements and solutions, including edge computing, and the exhibition will cover industrial networks, smart manufacturing, communication modules, artificial intelligence, Internet of Things platforms, smart homes, smart cities and other Internet of Things. In the field of industrial chain, it covers all aspects of the perception layer, transmission layer, and application layer of the Internet of Things, aiming to provide a rare market inspection and application communication platform for present enterprises and visitors.
Edge computing promotes efficient and mature application of Internet of Things
With the great heat of cloud computing, edge computing is more and more often referred to by people. Someone once used the phrase “the big events in the world, the long time must be divided, and the long time must be combined†in The Romance of the Three Kingdoms to describe the relationship between cloud computing and edge computing. However, edge computing is not new. In 2012, the IoT ecological map released by IBM brought edge computing to people's perspective.
IBM IoT Ecomap