Under the background of the Internet of Everything, the application of Internet of Things has become more mature, and edge computing has gradually entered people's field of vision and has been mentioned many times. The emergence of edge computing has improved the network transmission performance of data, and a large amount of capital has been introduced to the wide application of the edge side. Even more, there are major giants competing for layout, and the future trend of edge computing is already very obvious.
With the heat of cloud computing, edge computing is becoming more and more popular. Some people have used the phrase "the big things in the world, the long-term must be divided, the long-term must be combined" in the "Romance of the Three Kingdoms" to describe the relationship between cloud computing and edge computing. But in fact, edge computing is not new. IBM's IoT ecological map released in 2012 brought edge computing into people's field of vision.
IBM IoT Eco Map
First, edge calculation, hype or trend?In today's fast-growing technology, under the background of the Internet of Everything, the popularity of the Internet of Things means that a large number of IoT terminals will be connected to the network. According to Gartner's forecast, by 2020, the number of network devices and terminals will reach 26 billion. As devices access the Internet of Things on a large scale, the massive amounts of data generated on the terminal devices provide us with commercial value while also challenging data processing.
It is understood that the data generated by network edge devices has reached a massive level, which undoubtedly increases the computing power burden of cloud computing centers. Cloud computing can no longer match massive data processing. Cloud computing models can no longer effectively solve cloud center load and transmission bandwidth. , data privacy protection and other issues. According to Internet data company IDC, by 2020, the total amount of data worldwide will be greater than 40ZB. Due to the limited network bandwidth and the need for real-time response, edge computing has become one of the trends in the development of the Internet of Things.
Second, there are also large applications on the edge side.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 provides users with a smarter and faster user experience. The influx of large amounts of capital has also spawned more widespread applications on the marginal side.
1) Smart home
In current smart home devices, many devices connect devices to the current cloud computing center through a WiFi module, but this does not meet the needs of communication between smart home devices. Edge computing is required for different interactive scenarios in smart homes. This kind of edge calculation can be embodied in devices such as gateways and central control systems.
2) Smart traffic
As the amount of traffic data increases, the real-time needs of users for massive traffic information will also increase. If all the data is transmitted back to the cloud computing center, there will be problems such as waste of bandwidth resources and delays. However, if the data is analyzed and processed in real time on the edge server, the user can make a real-time situation and available resources according to the road surface. The corresponding instructions. The application of edge computing in smart transportation is not only reflected in the intelligent traffic control system, the car network, or even in the driverless car.
3) Smart City
For location-based applications such as transportation and facility management, the edge computing model is superior to the cloud computing model for location recognition technology. In the edge computing model, geo-location-based data can be processed and collected in real time without having to be transferred to a cloud computing center.
Third, the giant layout, the future has come1) China Unicom
At the ITU-T SG20 WP1 Plenary Session, China Unicom's "IoT requirements for Edge compuTIng" international standard project was successfully established, which is the first edge computing project of ITU-T in the IoT field. Since then, China Unicom will take the lead in opening the international standardization work of ITU-T IoT edge computing to promote the healthy and sustainable development of the edge computing industry.
Multi-access edge computing (MEC) is a supporting and enabling technology for ICT and OT fusion. China Unicom has actively changed to explore and research the construction of the edge computing business platform. At present, China Unicom has started the MEC pilot work in six cities of Tianjin, Shanghai, Hangzhou, Guangzhou, Chongqing and Chengdu, and built the world's largest test bed for edge cloud virtualization platform, with more than 50 ecological partners.
2) ARM
In November 2017, IP vendor ARM launched the general framework PSA for IoT security and Mbed Edge for enhanced edge management to stabilize and strengthen the infrastructure and driving force of the Internet of Things market. It is understood that Mbed Edge mainly enables users to further expand the management functions of Mbed Cloud devices through the Internet of Things gateway, including the field of device import (Onboard), control and management.
Mbed Edg also has three major advantages: the first is Protocol TranslaTIon, which can translate non-IP-compliant networking devices (such as LoRa, Modbus) into IP based and manage it in Mbed Cloud. The second is the gate. Channel management, improve IoT gateway resilience, reduce downtime, and add enhancements such as sending alarm notifications, procedures, resources, diagnostics and interface management; third is edge computing, users can vary in complexity according to requirements The computing resources or calculation rules are placed in the gateway and can operate independently even after the cloud is disconnected.
3) ZTE Corporation
ZTE has laid out the layout of the device layer in edge computing. The author understands that ZTE has a complete edge computing solution, including core technologies and patents including virtualization technology, container technology, high-precision positioning technology, shunt technology, and CDN sinking. The related solutions cover six major scenarios: service localization, local cache, car networking, and Internet of Things. They meet the MEC Host architecture defined by the ETSI standard, and comprehensively consider the edge computing management system and the edge computing centralized control system according to the actual application requirements. Program customization.
Zang Linbo, chief product manager of ZTE's product planning, said that edge computing can create new value chains and ecosystems, enabling the various roles of the entire industry chain to benefit from enhanced cooperation.
4) Marvell and Pixeom
At the 2018 International Consumer Electronics Show (CES), the Marvell and Pixeom teams demonstrated a very efficient, yet affordable, edge computing system that combines the Marvell MACCHIATObin community board and Pixeom technology. Expanded Google Cloud Platform? The function of the service at the edge of the network. The Marvell MACCHIATObin Community Development Board runs Pixeom Edge Platform software that extends cloud capabilities by orchestrating and running container-based Docker-based micro-services on MACCHIATObin.
Based on Marvell's MACCHIATObin hardware, Pixeom demonstrated its container-based edge computing solution, which provides video analytics at the edge of the network. This unique combination of hardware and software provides a highly optimized and straightforward way to keep more processing and storage resources at the edge of the network. This technology can significantly improve operational efficiency and reduce latency.
Fourth, summaryEdge computing covers many IoT technologies, including peer-to-peer, grid computing, fog computing, blockchain, and content delivery networks (CDNs), which can be seen in a wide range of applications. The computing power of the future will be more or even completely transferred to the cloud, and the rapid development of the Internet of Things and the explosive growth of edge computing will be just around the corner.
It is understood that from April 25 to 27, 2018, the Spring Exhibition of the 1018th International Internet of Things Expo, hosted by the China Internet of Things Industry Application Alliance, Shenzhen IOT Media Co., Ltd. and Shenzhen Yixin IOT Network Co., Ltd. It will be held at the Suzhou International Expo Center. The expo will bring together the most cutting-edge application needs and solutions in the industry, including edge computing, which will cover industry 4.0, smart manufacturing, communication modules, artificial intelligence, IoT platforms, and smart homes, smart cities and other Internet of Things. The industrial chain field covers all aspects of the Internet of Things perception layer, transport layer and application layer, and aims to provide a rare market research and application exchange platform for the enterprises and audiences.
High Voltage Capacitor Charging Power Supplies
High Voltage Capacitor Charging is a mainstream application of high-current high-voltage power supplies. The High-voltage Capacitor Charging power supplies are a kind of high-voltage DC Power Supplies specially designed to meet the requirements of capacitor charging or capacitor conditioning.
At present, iDealTek-Electronics' high-voltage capacitor charging power supplies are IGBT-based switching mode High Voltage Power Supplies. Compared with the traditional linear high-voltage power supplies, the switched-type capacitor charging high-voltage power supplies are featured for higher power density, higher efficiency, higher output response speed and faster protection start and self-recovery speed.
iDealTek-Electronics originally produced linear capacitor charging high-voltage power supplies. Based on years of experience in the capacitor industry, our current capacitor charging high voltage power supplies use 19-inch standard racks, 4U and 6U chassis, which facilitate the installation of integrated capacitor charging systems. The output power ranges from 2KW to 10KW with output voltage levels at 5KV / 10KV / 20KV / 30KV / 35KV / 40KV / 50KV / 60KV / 100KV with a complete protection function, which can deal with overvoltage, overcurrent, load discharge and other situations.
The output voltage and current of the power supply can be controlled and read through the front operation panel of the power supply. And, this series of high voltage capacitor charging power supplies are also equipped with RS485 / DB15 / DB50 interfaces as standard. Customers can edit the control software according to our communication protocol or apply 0-10V signals and dry contact signals on the interface according to the definition of the analog interface to achieve full control and monitoring of the power supply, such as high voltage start/stop, output settings and readings.
HV Capacitor Charging Power Supplies, High-voltage Capacitor Charging Power Supplies, Capacitor Charging High Voltage Power Supplies, Capacitor Charging HVPS, HV Capacitor Charger
Yangzhou IdealTek Electronics Co., Ltd. , https://www.idealtekpower.com