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2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Network Security >
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What is the relationship between edge computing and ARM
What is edge computing?
When it comes to edge computing, we have to mention cloud computing. The so-called cloud computing refers to through the network "cloud", the huge data processing programs are decomposed into countless Mini Program, and then a system composed of multiple servers processes and analyzes the results, and returns them to users. In the early days of cloud computing, it was a simple distributed computing that solved task allocation and merged computing results. Therefore, cloud computing is also called grid computing. Using this technology, tens of thousands of pieces of data can be processed in a very short time (a few seconds), so as to achieve powerful network services.
So what does this have to do with edge computing?
Although cloud computing can process tens of thousands of pieces of data in a very short time, the disadvantages of cloud computing are also exposed, such as large bandwidth consumption, high power consumption, long network delay, poor real-time performance and high centralization. poor stability, personal data to the cloud is not conducive to privacy protection.
Edge computing is essentially "ground-to-ground" cloud computing. The most important capability of edge computing is to inherit the intelligence of cloud computing. Edge computing is a distributed open platform (architecture) that integrates the core competencies of network, computing, storage and application on the edge side of the network close to the object or data source, and provides edge intelligent services nearby. to meet the key needs of industry digital in agile connectivity, real-time business, data optimization, application intelligence, security and privacy protection.
The relationship between Edge Computing and ARM
As founding members, ARM and several other companies, such as Huawei and Shenyang Institute of Automation of the Chinese Academy of Sciences, jointly initiated the Edge Computing Industry Alliance to accelerate the digital innovation and application of edge computing in various industries.
Because of the large number of devices deployed in edge computing applications, power consumption is indeed a key indicator. ARM has always been known for its low power consumption, high energy efficiency and clippability, and these advantages are just right for edge computing. The accounting edge computing gateway uses a high-end processor based on ARM architecture, and there are suitable products to choose from different selection requirements of optimal cost, best performance and high cost performance.
With the continuous development of intelligent devices, more and more devices are connected to the Internet, and more and more data are generated. Edge computing devices: www.top-iot.com will not only process these data in time, but also ensure the security of these data. At the same time, the ultimate goal of intelligent manufacturing, the self-perception ability of the equipment needs artificial intelligence (AI) algorithms to make decisions, and the production site requires high real-time control of the equipment, so in the future these algorithms must be calculated at the edge, and then real-time control of the equipment, and really become the brain of the device.
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