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A hyper-converged server system for supporting edge computing

A server system and edge computing technology, applied in the field of information, can solve the problems such as the inability to realize the computing pressure of IoT terminal equipment and the timely response of network transmission delay, and achieve the effect of convenient application deployment capability and rapid and flexible development

Active Publication Date: 2020-01-03
上海孚典智能科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the rapid development of the Internet of Things technology and the continuous implementation of related applications, the traditional cloud computing based on centralized computing cannot realize the computing pressure brought by the massive data processing, analysis and reasoning brought by the Internet of Things terminal devices. Therefore, edge computing technology emerges at the historic moment. By moving some computing functions to the sensor side, it realizes the sharing of computing pressure brought by a large number of front-end sensors and the buffering of data storage and communication pressure.

Method used

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  • A hyper-converged server system for supporting edge computing
  • A hyper-converged server system for supporting edge computing
  • A hyper-converged server system for supporting edge computing

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Embodiment Construction

[0041] The present invention is concretely divided into three layers and realizes (referring to appended figure 2 ): hardware layer, virtualization and resource management layer, and application and management layer. The implementation of each layer is described below.

[0042] The hardware layer is divided into: AI acceleration system, data acquisition system, cluster / application control system, data storage system, and general network interface equipment and parts, and the cross-linking is realized through the PCIe bus (see attached figure 1 ), the function of each module is as follows:

[0043] 1. AI Acceleration System: For intelligent applications (AI computing), especially the massive tensor and vector calculations required by neural network calculations, the customized tensor and vector computing units are used to reduce power consumption while computing intelligent applications Throughput improvement. The physical implementation of the AI ​​acceleration system is ...

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Abstract

The invention provides a hyper-converged system for providing service for edge computing. Aiming at the special requirements of an edge computing scene on artificial intelligence computing, information security, storage capacity and application software deployment, a high-performance computing platform which is high in performance, low in power consumption and capable of effectively using space isrealized through software and hardware integration. Edge calculation relates to a large amount of data acquisition and data processing (machine learning model reasoning operation), and the deploymentis close to an application place, so that strict requirements on space and power consumption are met. For the diversity of applications, sufficient flexibility needs to be provided in the aspect of deployment of software systems and software applications. According to the invention, a special computing platform for effectively solving technical challenges faced by edge computing equipment is designed; a safe and convenient means is provided for integrating various special hardware acceleration devices to construct an edge computing application through a container virtualization software technology, and various edge computing scenes with extreme requirements on computing and data capacity can be effectively adapted.

Description

technical field [0001] The present invention belongs to the field of information technology, in particular to a computing system for supporting edge computing and intelligent applications, using hyper-convergence technology to support computing performance, application development and deployment, data capacity, efficiency requirements and reduced space brought about by edge computing Occupation challenge. Background technique [0002] In recent years, with the rapid development of the Internet of Things technology and the continuous implementation of related applications, the traditional cloud computing based on centralized computing cannot realize the computing pressure brought by the massive data processing, analysis and reasoning brought by the Internet of Things terminal devices. Therefore, edge computing technology emerges at the historic moment. By moving part of the computing functions to the sensor side, it realizes the sharing of computing pressure brought by a larg...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F13/40G06F13/42G06N3/063
CPCG06F9/45558G06F13/4022G06F13/4221G06F2009/45587G06F2213/0026G06N3/063Y02D10/00
Inventor 赵继胜吴宇
Owner 上海孚典智能科技有限公司
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